Triple

T8999620
Position Surface form Disambiguated ID Type / Status
Subject Gold Diggers of 1937 E215008 entity
Predicate stars P1956 FINISHED
Object Lee Dixon E13033 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: Lee Dixon | Statement: [Gold Diggers of 1937, stars, Lee Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Dixon
Context triple: [Gold Diggers of 1937, stars, Lee Dixon]
  • A. Lee Dixon chosen
    Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
  • B. Douglas Shearer
    Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
  • C. Reggie Yates
    Reggie Yates is a British actor, television presenter, and filmmaker known for his work on UK television and in socially focused documentaries.
  • D. Ian Wright
    Ian Wright is a New Zealand-born engineer and entrepreneur best known as one of the co-founders of electric vehicle company Tesla, Inc.
  • E. Ian Wright
    Ian Wright is a former English striker renowned for his prolific goal-scoring at Arsenal and as a charismatic football pundit.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e3b1f48190bbeafbce363fff53 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb5b88d48190b684c43cc88d8438 completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:05 p.m.