Triple

T21721587
Position Surface form Disambiguated ID Type / Status
Subject What's Love Got to Do with It E536168 entity
Predicate producer P490 FINISHED
Object Barry Krost 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: Barry Krost | Statement: [What's Love Got to Do with It, producer, Barry Krost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Krost
Context triple: [What's Love Got to Do with It, producer, Barry Krost]
  • A. Barry Krost chosen
    Barry Krost is a film and television producer best known for his work on the acclaimed Tina Turner biographical film "What's Love Got to Do with It."
  • B. Barry Kroeger
    Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
  • C. Barry Pederson
    Barry Pederson is a former Canadian professional ice hockey centre best known for his high-scoring NHL career in the 1980s, primarily with the Boston Bruins.
  • D. Larry Kellner
    Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
  • E. Barry Van Dyke
    Barry Van Dyke is an American actor best known for co-starring with his father Dick Van Dyke on the television series "Diagnosis: Murder."
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.