Triple

T7184708
Position Surface form Disambiguated ID Type / Status
Subject Equal Rights E167539 entity
Predicate producer P490 FINISHED
Object Malcolm Cecil E325976 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: Malcolm Cecil | Statement: [Equal Rights, producer, Malcolm Cecil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Cecil
Context triple: [Equal Rights, producer, Malcolm Cecil]
  • A. Malcolm Cecil chosen
    Malcolm Cecil was a pioneering British musician, producer, and electronic music innovator best known for co-creating the massive TONTO synthesizer and shaping the sound of early 1970s Stevie Wonder albums.
  • B. George Morrison
    George Morrison is a notable individual whose name is shared with several prominent figures across fields such as politics, art, and entertainment.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. Eric Gairy
    Eric Gairy was a Grenadian politician and trade union leader who served as the country’s first prime minister and was later overthrown in a 1979 coup.
  • E. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8df6a6881909c3174f86c9a6b28 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94b058481909da9d5b21a5201de completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.