Triple

T2458649
Position Surface form Disambiguated ID Type / Status
Subject Hill Street Blues E54480 entity
Predicate castMember P1668 FINISHED
Object Daniel J. Travanti E269485 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: Daniel J. Travanti | Statement: [Hill Street Blues, castMember, Daniel J. Travanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel J. Travanti
Context triple: [Hill Street Blues, castMember, Daniel J. Travanti]
  • A. Daniel J. Travanti chosen
    Daniel J. Travanti is an American actor best known for his Emmy-winning portrayal of Captain Frank Furillo on the acclaimed television drama "Hill Street Blues."
  • B. Stephen Frank
    Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
  • C. Michael De Luca
    Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
  • D. Ken Daurio
    Ken Daurio is an American screenwriter best known for co-writing popular animated films such as Despicable Me, The Lorax, and The Secret Life of Pets.
  • E. Thomas Sadoski
    Thomas Sadoski is an American actor known for his roles in television series like "The Newsroom" and films such as "John Wick" and "Wild."
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10a35f88190b102a2cb5c88146e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f82b220819084f2b5275bf3b596 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.