Triple

T615781
Position Surface form Disambiguated ID Type / Status
Subject Apple Lisa E14399 entity
Predicate bundledSoftware P1593 FINISHED
Object LisaWrite
LisaWrite was the word processing application included with Apple's pioneering Lisa computer, offering a graphical interface for creating and editing documents.
 E77073 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: LisaWrite | Statement: [Apple Lisa, bundledSoftware, LisaWrite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LisaWrite
Context triple: [Apple Lisa, bundledSoftware, LisaWrite]
  • A. Jayne Appel
    Jayne Appel is a former American basketball center best known for her standout collegiate career at Stanford University and subsequent play in the WNBA.
  • B. Jessica Barth
    Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
  • C. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • D. LI
    LI is the Roman numeral representing the number 51.
  • E. Charlotte Pécoul
    Charlotte Pécoul was the wife of renowned French Neoclassical painter Jacques-Louis David and a member of a well-connected Parisian bourgeois family.
  • 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: LisaWrite
Triple: [Apple Lisa, bundledSoftware, LisaWrite]
Generated description
LisaWrite was the word processing application included with Apple's pioneering Lisa computer, offering a graphical interface for creating and editing documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LisaWrite
Target entity description: LisaWrite was the word processing application included with Apple's pioneering Lisa computer, offering a graphical interface for creating and editing documents.
  • A. Jayne Appel
    Jayne Appel is a former American basketball center best known for her standout collegiate career at Stanford University and subsequent play in the WNBA.
  • B. Jessica Barth
    Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
  • C. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • D. LI
    LI is the Roman numeral representing the number 51.
  • E. Charlotte Pécoul
    Charlotte Pécoul was the wife of renowned French Neoclassical painter Jacques-Louis David and a member of a well-connected Parisian bourgeois family.
  • 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.