Triple

T15368636
Position Surface form Disambiguated ID Type / Status
Subject Chopper E367483 entity
Predicate producer P490 FINISHED
Object Michele Bennett E997253 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: Michele Bennett | Statement: [Chopper, producer, Michele Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele Bennett
Context triple: [Chopper, producer, Michele Bennett]
  • A. Michele Bennett chosen
    Michele Bennett is an Australian film and television producer known for her work on acclaimed projects such as the film "Chopper."
  • B. Michele Gossett
    Michele Gossett is known as the wife of American actor Robert Gossett.
  • C. Michele Rice
    Michele Rice is the daughter of renowned American gothic and supernatural fiction author Anne Rice.
  • D. Mychel Thompson
    Mychel Thompson is an American former professional basketball player and the older brother of NBA star Klay Thompson.
  • E. Michael Bennett DiFiglia
    Michael Bennett DiFiglia, known professionally as Michael Bennett, was an influential American musical theater director and choreographer best known for conceiving and directing the landmark Broadway musical "A Chorus Line."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b50703881909ca71c985bc1c7b5 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.