Triple

T22337555
Position Surface form Disambiguated ID Type / Status
Subject WTVG E552189 entity
Predicate sisterStationOwner P53258 FINISHED
Object Gray Television 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: Gray Television | Statement: [WTVG, sisterStationOwner, Gray Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gray Television
Context triple: [WTVG, sisterStationOwner, Gray Television]
  • A. Gray Television chosen
    Gray Television is a major American media company that owns and operates numerous local television stations across the United States.
  • B. Sinclair Broadcast Group
    Sinclair Broadcast Group is a major American telecommunications conglomerate and one of the largest owners and operators of television stations in the United States.
  • C. Tribune Broadcasting
    Tribune Broadcasting was a major American media company that owned and operated television stations and produced and distributed broadcast and cable programming.
  • D. Tegna Inc.
    Tegna Inc. is a major American media company that owns and operates numerous local television stations and digital media properties across the United States.
  • E. Beasley Broadcast Group
    Beasley Broadcast Group is an American media company that owns and operates numerous radio stations across various markets in the United States.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157804e60819094e2a903ace6f4b2 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.