Triple

T15508305
Position Surface form Disambiguated ID Type / Status
Subject Georgia (1995 film) E379138 entity
Predicate featuresMusicPerformanceBy P83545 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: [Georgia (1995 film), featuresMusicPerformanceBy, Mare Winningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mare Winningham
Context triple: [Georgia (1995 film), featuresMusicPerformanceBy, 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. Lilly McDowell
    Lilly McDowell is an American actress known for her work in film and television and as the daughter of actors Ted Danson and Mary Steenburgen.
  • D. Lilly McDowell
    Lilly McDowell is an American actress known for roles in film and television and as the daughter of actors Mary Steenburgen and Malcolm McDowell.
  • E. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbba9fb08190b800af317f0c9abf completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 3:55 a.m.