Triple

T21933258
Position Surface form Disambiguated ID Type / Status
Subject Sneak Previews E541623 entity
Predicate originalStation P394 FINISHED
Object WTTW Chicago 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: WTTW Chicago | Statement: [Sneak Previews, originalStation, WTTW Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WTTW Chicago
Context triple: [Sneak Previews, originalStation, WTTW Chicago]
  • A. WTTW chosen
    WTTW is a Chicago-based public television station known for producing influential film review programs and other educational and cultural content for PBS.
  • B. WBEZ Chicago
    WBEZ Chicago is a public radio station and media organization based in Chicago, best known as a major NPR member station and producer of influential podcasts and programs such as "This American Life."
  • C. WBBM-TV
    WBBM-TV is the CBS-owned television station in Chicago that has served as a major local news outlet and early-career platform for prominent journalists such as Lester Holt.
  • D. NBC 5 Chicago
    NBC 5 Chicago is a major local television news station serving the Chicago metropolitan area as the NBC network affiliate.
  • E. KCTS-TV
    KCTS-TV is a Seattle-based public television station best known for producing educational programs such as the science show "Bill Nye the Science Guy."
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12400a1248190b3f8f27f2aa4a858 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.