Triple

T10722093
Position Surface form Disambiguated ID Type / Status
Subject Charles Bronson E252845 entity
Predicate workedWith P398 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: [Charles Bronson, workedWith, Michael Winner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Winner
Context triple: [Charles Bronson, workedWith, 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. Gered Mankowitz
    Gered Mankowitz is a British photographer best known for his iconic music and rock-and-roll imagery, including portraits and album covers for major artists.
  • C. Lew Grade
    Lew Grade was a prominent British media mogul and television producer who played a key role in shaping commercial television in the UK during the mid-20th century.
  • D. 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.
  • E. Michael Aldrich
    Michael Aldrich was a British inventor and entrepreneur best known for pioneering online shopping and developing one of the first systems to connect consumers to businesses via a domestic television and telephone 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d43655081909b071100c96cb4f6 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:13 p.m.