Triple

T3107223
Position Surface form Disambiguated ID Type / Status
Subject James Sinegal E64860 entity
Predicate name P16 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: [James Sinegal, name, James Sinegal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Sinegal
Context triple: [James Sinegal, name, 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. Dennis Yost
    Dennis Yost was an American singer best known as the lead vocalist of the 1960s and 1970s soft rock group Classics IV, noted for hits like "Spooky" and "Traces."
  • C. Jeffrey L. Kimball
    Jeffrey L. Kimball is an American cinematographer known for his work on high-profile action films, including "The Expendables" and several collaborations with director Tony Scott.
  • D. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • E. Jack Cummings
    Jack Cummings was an American film producer best known for his work on classic MGM musicals in the mid-20th century.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2038c89248190b880108c82ad35b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.