Triple

T7191333
Position Surface form Disambiguated ID Type / Status
Subject Michael Winner E167698 entity
Predicate name P16 FINISHED
Object Michael Winner E167698 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 Winner | Statement: [Michael Winner, name, Michael Winner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Winner
Context triple: [Michael Winner, name, Michael Winner]
  • A. Michael Winner chosen
    Michael Winner was a British film director and producer best known for directing the "Death Wish" series starring Charles Bronson.
  • B. Ronald Neame
    Ronald Neame was a British film director, producer, and cinematographer known for works such as "The Poseidon Adventure" and collaborations with Alec Guinness.
  • C. Dana Broccoli
    Dana Broccoli was an American actress and film producer best known for her influential role in the James Bond film franchise alongside her husband Albert R. Broccoli.
  • D. Clive Donner
    Clive Donner was a British film director known for his work in 1960s cinema, including influential comedies and literary adaptations.
  • E. Tony Richardson
    Tony Richardson was a British film and theatre director associated with the Free Cinema movement and known for influential works such as "Tom Jones" and "The Loneliness of the Long Distance Runner."
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b95c671c8190bf75b5807c6c320c completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:50 p.m.