Triple

T6730848
Position Surface form Disambiguated ID Type / Status
Subject Airborne (1993 film) E153628 entity
Predicate stars P1956 FINISHED
Object Edie McClurg E276256 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: Edie McClurg | Statement: [Airborne (1993 film), stars, Edie McClurg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edie McClurg
Context triple: [Airborne (1993 film), stars, Edie McClurg]
  • A. Edie McClurg chosen
    Edie McClurg is an American character actress and voice artist known for her comedic supporting roles in films and television, including memorable voice work in animated movies.
  • B. Edie
    Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
  • C. Edie Parker
    Edie Parker was an American writer and memoirist best known for her early involvement with the Beat Generation and her marriage to Jack Kerouac.
  • D. Arlene Miles
    Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
  • E. Edie Martin
    Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751088fc08190abc2eacfb95867f3 completed March 28, 2026, 3:54 a.m.
Created at: March 27, 2026, 2:09 p.m.