Triple

T615768
Position Surface form Disambiguated ID Type / Status
Subject Apple Lisa E14399 entity
Predicate operatingSystem P1593 FINISHED
Object Lisa OS
Lisa OS was the graphical user interface–based operating system developed by Apple for its early Lisa personal computer, notable for pioneering features like overlapping windows, menus, and a mouse-driven desktop.
 E77071 NE FINISHED

How this triple was built (4 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: Lisa OS | Statement: [Apple Lisa, operatingSystem, Lisa OS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisa OS
Context triple: [Apple Lisa, operatingSystem, Lisa OS]
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • C. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • D. Clementine
    Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • 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: Lisa OS
Triple: [Apple Lisa, operatingSystem, Lisa OS]
Generated description
Lisa OS was the graphical user interface–based operating system developed by Apple for its early Lisa personal computer, notable for pioneering features like overlapping windows, menus, and a mouse-driven desktop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisa OS
Target entity description: Lisa OS was the graphical user interface–based operating system developed by Apple for its early Lisa personal computer, notable for pioneering features like overlapping windows, menus, and a mouse-driven desktop.
  • A. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • B. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • C. Jini
    Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
  • D. Clementine
    Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
  • E. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • F. None of above. chosen

Provenance (5 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e0b438881909ad515adf7a4eb79 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5554b4f888190b9b64ece37087bf4 completed March 2, 2026, 9:15 a.m.
NEDg Description generation batch_69a555ae08b88190aad64ec7923437ef completed March 2, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_69a556669878819098816d2221a3fd3d completed March 2, 2026, 9:20 a.m.
Created at: March 1, 2026, 7:35 p.m.