Triple

T4884747
Position Surface form Disambiguated ID Type / Status
Subject Wyatt Earp E109411 entity
Predicate starring P1507 FINISHED
Object Mare Winningham E293067 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: Mare Winningham | Statement: [Wyatt Earp, starring, Mare Winningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mare Winningham
Context triple: [Wyatt Earp, starring, Mare Winningham]
  • A. Mare Winningham chosen
    Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
  • B. Talisha Searcy
    Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
  • C. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • D. Alafair Burke
    Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
  • E. Emily VanCamp
    Emily VanCamp is a Canadian actress best known for her leading role as Emily Thorne/Amanda Clarke on the television drama series "Revenge" and for playing Sharon Carter in the Marvel Cinematic Universe.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de3718881908521968fa6e6b444 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c41d21c81908cfbe658c65cca6f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:27 p.m.