Triple

T2276037
Position Surface form Disambiguated ID Type / Status
Subject Dragnet (television series) E50772 entity
Predicate starred P5563 FINISHED
Object Jack Webb E249554 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: Jack Webb | Statement: [Dragnet (television series), starred, Jack Webb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Webb
Context triple: [Dragnet (television series), starred, Jack Webb]
  • A. Jack Webb chosen
    Jack Webb was an American actor, producer, director, and screenwriter best known for creating and starring in the influential police procedural series "Dragnet."
  • B. Robert Stack
    Robert Stack was an American actor best known for hosting the television series "Unsolved Mysteries" and for his role in the crime drama "The Untouchables."
  • C. Russell Pearce
    Russell Pearce is an American politician and former Arizona state senator best known for championing hardline immigration legislation, including the controversial SB 1070 law.
  • D. Joe Coburn
    Joe Coburn was a 19th-century Irish-American bare-knuckle boxer who became one of the leading heavyweight fighters of his era.
  • E. Steven Bochco
    Steven Bochco was an influential American television writer and producer best known for creating groundbreaking, ensemble-driven dramas such as "Hill Street Blues," "L.A. Law," and "NYPD Blue."
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0ed1b881909ba3c7f9fea50267 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.