Triple

T11343546
Position Surface form Disambiguated ID Type / Status
Subject Captain Frank Furillo E268659 entity
Predicate portrayedBy P1507 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: [Captain Frank Furillo, portrayedBy, Daniel J. Travanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel J. Travanti
Context triple: [Captain Frank Furillo, portrayedBy, 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. Frank Nicotero
    Frank Nicotero is an American comedian and television host known for his work on game shows and stand-up comedy.
  • C. Michael Angelis
    Michael Angelis was a British actor best known for his work in television drama and as the long-time UK narrator of the children's series Thomas & Friends.
  • D. Stephen Frank
    Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
  • E. John Carroll Lynch
    John Carroll Lynch is an American character actor known for his versatile roles in film and television, including notable performances in works like "Fargo," "Zodiac," and "American Horror Story."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5435f4e288190b9b0029dc35bf2c5 completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.