Triple

T1805988
Position Surface form Disambiguated ID Type / Status
Subject Behind the Candelabra E40219 entity
Predicate castMember P1668 FINISHED
Object Scott Bakula E205098 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: Scott Bakula | Statement: [Behind the Candelabra, castMember, Scott Bakula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Bakula
Context triple: [Behind the Candelabra, castMember, Scott Bakula]
  • A. Scott Bakula chosen
    Scott Bakula is an American actor best known for his leading roles in the science-fiction television series "Quantum Leap" and "Star Trek: Enterprise."
  • B. Dylan McDermott
    Dylan McDermott is an American actor best known for his roles in the legal drama "The Practice" and the anthology series "American Horror Story."
  • C. John Ehle
    John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
  • D. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • E. Chris Noth
    Chris Noth is an American actor best known for his roles as Mr. Big in the Sex and the City franchise and Detective Mike Logan in the Law & Order television series.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659798b88190bd3070349ce6bebb completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1baea1c8190a452ffb17dc91aa0 completed March 8, 2026, 7:44 p.m.
Created at: March 4, 2026, 7:32 p.m.