Triple

T12668792
Position Surface form Disambiguated ID Type / Status
Subject Beverly Crusher E302623 entity
Predicate portrayedBy P1507 FINISHED
Object Gates McFadden E302628 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: Gates McFadden | Statement: [Beverly Crusher, portrayedBy, Gates McFadden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gates McFadden
Context triple: [Beverly Crusher, portrayedBy, Gates McFadden]
  • A. Gates McFadden chosen
    Gates McFadden is an American actress and choreographer best known for playing Dr. Beverly Crusher in the Star Trek franchise.
  • B. Nicollette Sheridan
    Nicollette Sheridan is a British-American actress best known for her roles on the television series "Knots Landing" and "Desperate Housewives."
  • C. Elizabeth McGovern
    Elizabeth McGovern is an American actress and musician best known for her roles in films like "Ragtime" and the television series "Downton Abbey."
  • D. Kate Walsh
    Kate Walsh is an American actress best known for her role as Dr. Addison Montgomery on the television series Grey's Anatomy and its spin-off Private Practice.
  • E. Melissa Fitzgerald
    Melissa Fitzgerald is an American actress and social activist best known for her role as Carol Fitzpatrick on the television series "The West Wing" and for her leadership work with the nonprofit Justice For Vets.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7527c4819096c49a12dcba3c1a completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:20 p.m.