Triple

T9684856
Position Surface form Disambiguated ID Type / Status
Subject Michael Cooper E234380 entity
Predicate name P16 FINISHED
Object Michael Cooper E234380 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: Michael Cooper | Statement: [Michael Cooper, name, Michael Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Cooper
Context triple: [Michael Cooper, name, Michael Cooper]
  • A. Michael Cooper chosen
    Michael Cooper is a former Los Angeles Lakers guard renowned for his elite perimeter defense and key role on the Showtime-era championship teams.
  • B. Kyle Cooper
    Kyle Cooper is a composer recognized for his award-winning work in video game music, including earning top honors at The Game Awards.
  • C. Blain Cooper
    Blain Cooper is a tough, heavy-weapons specialist and member of the elite military rescue team in the 1987 science fiction action film "Predator."
  • D. Michael Jeffery
    Michael Jeffery was a British music manager best known for managing Jimi Hendrix and co-founding Electric Lady Studios in New York City.
  • E. Bruce Cooper
    Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.