Triple

T11666878
Position Surface form Disambiguated ID Type / Status
Subject Go West E277271 entity
Predicate castMember P1668 FINISHED
Object Diana Lewis E661331 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: Diana Lewis | Statement: [Go West, castMember, Diana Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Lewis
Context triple: [Go West, castMember, Diana Lewis]
  • A. Diana Lewis chosen
    Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
  • B. Diana Matheson
    Diana Matheson is a retired Canadian midfielder best known for scoring the bronze medal–winning goal at the 2012 London Olympics and being a longtime standout for the Canada women’s national soccer team.
  • C. Beth Dawes
    Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
  • D. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • E. Susie Lewis
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a0e90e48190af6b802697d3256f completed May 3, 2026, 8:40 a.m.
Created at: April 8, 2026, 9:39 p.m.