Triple

T3636188
Position Surface form Disambiguated ID Type / Status
Subject Lisa OS E77071 entity
Predicate supports P516 FINISHED
Object LisaList
LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
 E375417 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: LisaList | Statement: [Lisa OS, supports, LisaList]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LisaList
Context triple: [Lisa OS, supports, LisaList]
  • A. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • C. LisaProject
    LisaProject was a project management and scheduling application included with Apple's Lisa computer system, designed to help users plan and track tasks and timelines.
  • D. Listahanan
    Listahanan is the Philippine government’s national household targeting system used to identify and prioritize poor and vulnerable families for social protection programs.
  • E. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • 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: LisaList
Triple: [Lisa OS, supports, LisaList]
Generated description
LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LisaList
Target entity description: LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
  • A. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • C. LisaProject
    LisaProject was a project management and scheduling application included with Apple's Lisa computer system, designed to help users plan and track tasks and timelines.
  • D. Listahanan
    Listahanan is the Philippine government’s national household targeting system used to identify and prioritize poor and vulnerable families for social protection programs.
  • E. LIS
    LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3278bb8819098bbeac023410111 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1ec2bc8190ae88a2010f84e998 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453862a60819094d3052cef717693 completed March 13, 2026, 6:12 p.m.
NED2 Entity disambiguation (via description) batch_69b45ca7a84481908e10cee8346f1de6 completed March 13, 2026, 6:51 p.m.
Created at: March 8, 2026, 3:24 p.m.