Triple

T2060415
Position Surface form Disambiguated ID Type / Status
Subject Costco Wholesale Corporation E45775 entity
Predicate foundedBy P104 FINISHED
Object James Sinegal E64860 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: James Sinegal | Statement: [Costco Wholesale Corporation, foundedBy, James Sinegal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Sinegal
Context triple: [Costco Wholesale Corporation, foundedBy, James Sinegal]
  • A. James Sinegal chosen
    James Sinegal is an American businessman best known as the co-founder and longtime CEO of Costco, where he became recognized for his employee-friendly and customer-focused leadership style.
  • B. Jack Cummings
    Jack Cummings was an American film producer best known for his work on classic MGM musicals in the mid-20th century.
  • C. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • D. Richard Madsen
    Richard Madsen is an American sociologist and scholar of Chinese society and culture, known for his influential work on religion, morality, and modernity, often in collaboration with Robert N. Bellah.
  • E. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9cfdac88190b8b7af1bfea6a78e completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271cb26c81908664f4c26f4fb5ea completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.