Triple

T308
Position Surface form Disambiguated ID Type / Status
Subject Douglas Engelbart E5 entity
Predicate developed P73 FINISHED
Object oN-Line System
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
E25 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: oN-Line System | Statement: [Douglas Engelbart, developed, oN-Line System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: oN-Line System
Context triple: [Douglas Engelbart, developed, oN-Line System]
  • A. Differential analyzer
    The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
  • B. Massachusetts Institute of Technology
    The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
  • C. Carnegie Institution of Washington
    The Carnegie Institution of Washington is a private, nonprofit scientific research organization founded by Andrew Carnegie that supports advanced research across fields such as astronomy, biology, and earth sciences.
  • D. Ted Nelson
    Ted Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning non-linear, interconnected digital documents.
  • E. Institute of Radio Engineers
    The Institute of Radio Engineers was a major professional organization for radio and electronics engineers that later merged into the Institute of Electrical and Electronics Engineers (IEEE).
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: oN-Line System
Triple: [Douglas Engelbart, developed, oN-Line System]
Generated description
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: oN-Line System
Target entity description: The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
  • A. Differential analyzer
    The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
  • B. Massachusetts Institute of Technology
    The Massachusetts Institute of Technology is a world-renowned research university in Cambridge, Massachusetts, known for its pioneering work in science, engineering, and technology.
  • C. Carnegie Institution of Washington
    The Carnegie Institution of Washington is a private, nonprofit scientific research organization founded by Andrew Carnegie that supports advanced research across fields such as astronomy, biology, and earth sciences.
  • D. Ted Nelson
    Ted Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning non-linear, interconnected digital documents.
  • E. Institute of Radio Engineers
    The Institute of Radio Engineers was a major professional organization for radio and electronics engineers that later merged into the Institute of Electrical and Electronics Engineers (IEEE).
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developed
Context triple: [Douglas Engelbart, developed, oN-Line System]
  • A. influenced
    Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. fieldOfWork
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • D. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • E. academicDegree
    Indicates that an entity holds or has been awarded a specific academic degree.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a222a954e48190b48f126a67485661 completed Feb. 27, 2026, 11:03 p.m.
NER Named-entity recognition batch_69a2266edf048190828e8f53cb7f6ba6 completed Feb. 27, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a2273d3b488190b689cecc19808ba0 completed Feb. 27, 2026, 11:22 p.m.
NEDg Description generation batch_69a227ecefcc819090d01fd6c1884bab completed Feb. 27, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69a22838402c8190a0e49ebf7d69f22b completed Feb. 27, 2026, 11:26 p.m.
PD Predicate disambiguation batch_69a222f9916081908db2eedc81d85301 completed Feb. 27, 2026, 11:04 p.m.
PDg Predicate description generation batch_69a2266e0fb4819081d1775e498ed96a completed Feb. 27, 2026, 11:19 p.m.
Created at: Feb. 27, 2026, 11:04 p.m.