Triple

T12038796
Position Surface form Disambiguated ID Type / Status
Subject Chick Hearn E286607 entity
Predicate employer P7 FINISHED
Object KCOP-TV E331292 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: KCOP-TV | Statement: [Chick Hearn, employer, KCOP-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCOP-TV
Context triple: [Chick Hearn, employer, KCOP-TV]
  • A. KCOP-TV chosen
    KCOP-TV is a Los Angeles-based television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
  • B. KRLD-TV
    KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
  • C. KSWB-TV
    KSWB-TV is a television station serving the San Diego, California market, known primarily as the local Fox network affiliate.
  • D. KMBC-TV
    KMBC-TV is a television station in Kansas City, Missouri, known for its local news and sports coverage, including long-time association with former Chiefs quarterback and broadcaster Len Dawson.
  • E. KOMU-TV
    KOMU-TV is a mid-Missouri television station uniquely serving as both a commercial NBC affiliate and a hands-on teaching laboratory for students of the Missouri School of Journalism.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.