Triple

T20102471
Position Surface form Disambiguated ID Type / Status
Subject Len Dawson E496577 entity
Predicate workedFor P1910 FINISHED
Object KMBC-TV 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: KMBC-TV | Statement: [Len Dawson, workedFor, KMBC-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMBC-TV
Context triple: [Len Dawson, workedFor, KMBC-TV]
  • A. KMBC-TV chosen
    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.
  • B. KETV
    KETV is a television station in Omaha, Nebraska, best known as the local ABC network affiliate providing news, weather, and entertainment programming.
  • C. KSWB-TV
    KSWB-TV is a television station serving the San Diego, California market, known primarily as the local Fox network affiliate.
  • D. KCOP-TV
    KCOP-TV is a Los Angeles-based television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
  • 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 (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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66670a5b48190afe06c8a582bba3d completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.