Triple

T23232617
Position Surface form Disambiguated ID Type / Status
Subject Joan Blackman E581201 entity
Predicate coStarredWith P14987 FINISHED
Object Burt Reynolds NE NERFINISHED

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: Burt Reynolds | Statement: [Joan Blackman, coStarredWith, Burt Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burt Reynolds
Context triple: [Joan Blackman, coStarredWith, Burt Reynolds]
  • A. Burt Reynolds chosen
    Burt Reynolds was a charismatic American actor and 1970s–80s box office star known for films like "Deliverance," "Smokey and the Bandit," and "Boogie Nights."
  • B. Ralph Willis
    Ralph Willis is an Australian Labor Party politician who served as federal Treasurer in the early 1990s under Prime Minister Paul Keating.
  • C. David Hennings
    David Hennings is a film cinematographer known for his work on major studio comedies and other feature films, including "Horrible Bosses."
  • D. Jack Elam
    Jack Elam was an American character actor best known for his distinctive lazy eye and memorable roles as villains and comic sidekicks in numerous Western films and television series.
  • E. Ray Graves
    Ray Graves was a prominent American college football coach best known for leading the University of Florida Gators during the 1960s and elevating the program’s national profile.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e70b2c8190abede6e3cd9344f7 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.