Triple

T11715284
Position Surface form Disambiguated ID Type / Status
Subject Nancy Allen E278479 entity
Predicate coStarredWith P14987 FINISHED
Object Keith Gordon E867688 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: Keith Gordon | Statement: [Nancy Allen, coStarredWith, Keith Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Gordon
Context triple: [Nancy Allen, coStarredWith, Keith Gordon]
  • A. Keith Gordon chosen
    Keith Gordon is an American actor and director known for his roles in films like "Christine" and "Back to School" and for directing movies such as "A Midnight Clear" and "Waking the Dead."
  • B. Dana Murray
    Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
  • C. Carl Edwards
    Carl Edwards is a retired American professional stock car racing driver best known for his success in NASCAR’s top series, including multiple race wins and a reputation for his trademark backflip celebrations.
  • D. Tim Rasmussen
    Tim Rasmussen is an American screenwriter best known for co-writing the romantic comedy film "License to Wed."
  • E. Kyle Newman
    Kyle Newman is an American filmmaker best known for directing genre-blending comedies and action films, including the teen spy movie "Barely Lethal."
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.