Triple

T1185916
Position Surface form Disambiguated ID Type / Status
Subject Ron Santo E25244 entity
Predicate employer P7 FINISHED
Object WGN Radio E123359 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: WGN Radio | Statement: [Ron Santo, employer, WGN Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGN Radio
Context triple: [Ron Santo, employer, WGN Radio]
  • A. WGN Radio chosen
    WGN Radio is a historic Chicago-based AM radio station known for its news, talk, and sports programming and long association with the Chicago Tribune.
  • B. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • C. KYW (AM)
    KYW (AM) is a long-running Philadelphia-based all-news radio station known for its continuous local news coverage and distinctive “Newsradio 1060” branding.
  • D. KDKA (AM)
    KDKA (AM) is a historic Pittsburgh radio station widely recognized as one of the first commercially licensed broadcast stations in the United States.
  • E. WBZ (AM)
    WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd53e4b48190abb2167f8074a6bc completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f239a288190ae488d11cff8ebf2 completed March 7, 2026, 6:32 p.m.
Created at: March 1, 2026, 7:45 p.m.