Triple

T4458557
Position Surface form Disambiguated ID Type / Status
Subject WGN America E98192 entity
Predicate formerName P65 FINISHED
Object WGN Superstation E98192 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 Superstation | Statement: [WGN America, formerName, WGN Superstation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WGN Superstation
Context triple: [WGN America, formerName, WGN Superstation]
  • A. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • B. WGN America chosen
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • C. WGN Radio
    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.
  • D. KYW-TV
    KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
  • E. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3564485688190a0d49fdccf8724be completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6283811f0819095aa671ac593bd8d completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:33 p.m.