Triple

T9593247
Position Surface form Disambiguated ID Type / Status
Subject WLBZ E231468 entity
Predicate licensee P15136 FINISHED
Object Tegna License LLC E809120 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: Tegna License LLC | Statement: [WLBZ, licensee, Tegna License LLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegna License LLC
Context triple: [WLBZ, licensee, Tegna License LLC]
  • A. Tegna Inc. chosen
    Tegna Inc. is a major American media company that owns and operates numerous local television stations and digital media properties 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. Nexstar Media Group
    Nexstar Media Group is a major American media company and the largest owner of local television stations in the United States.
  • D. Turner Broadcasting System
    Turner Broadcasting System is a major American media company best known for operating cable television networks such as CNN, TBS, and TNT.
  • E. Taft Broadcasting
    Taft Broadcasting was a major American media conglomerate that owned television and radio stations, produced syndicated programming and cartoons, and operated several amusement parks during the mid-20th century.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a134b0c81908a568e5d2ecfbb92 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1791e330881908a6ad31a5bdbccec completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:07 p.m.