Triple

T1015712
Position Surface form Disambiguated ID Type / Status
Subject Tim Cook E21924 entity
Predicate employer P7 FINISHED
Object Compaq E20318 NE FINISHED

How this triple was built (2 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: Compaq | Statement: [Tim Cook, employer, Compaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compaq
Context triple: [Tim Cook, employer, Compaq]
  • A. Compaq chosen
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • B. Compaq Presario
    Compaq Presario is a line of budget-friendly personal computers and laptops that became widely popular in the 1990s and early 2000s for home and small office use.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Compaq Portable
    The Compaq Portable was one of the first successful IBM PC–compatible portable computers, helping to establish Compaq as a major player in the personal computer market in the 1980s.
  • E. Dell
    Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c05060819083c51717874074c8 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59978cb4819098118b6348b8a55a completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:41 p.m.