Triple

T9795761
Position Surface form Disambiguated ID Type / Status
Subject The Bard E237712 entity
Predicate hasCastMember P2308 FINISHED
Object Burt Reynolds E340954 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: Burt Reynolds | Statement: [The Bard, hasCastMember, Burt Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burt Reynolds
Context triple: [The Bard, hasCastMember, 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. David Hennings
    David Hennings is a film cinematographer known for his work on major studio comedies and other feature films, including "Horrible Bosses."
  • C. 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.
  • D. 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.
  • E. Gary Busey
    Gary Busey is an American actor known for his intense, often eccentric performances in films such as "The Buddy Holly Story," for which he received an Academy Award nomination.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43bccfc81909b940b180fe26626 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:28 p.m.