Triple

T6978283
Position Surface form Disambiguated ID Type / Status
Subject Anne Glass E161768 entity
Predicate createdFor P7551 FINISHED
Object TNT network E460465 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: TNT network | Statement: [Anne Glass, createdFor, TNT network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT network
Context triple: [Anne Glass, createdFor, TNT network]
  • A. TNT network chosen
    TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
  • B. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • C. TNN (The Nashville Network)
    TNN (The Nashville Network) was an American cable television network best known for its country music, Southern lifestyle, and motorsports programming.
  • D. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • E. NBC USA
    NBC USA is a major African American Christian denomination in the United States, formally known as the National Baptist Convention, USA, Inc.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db68d25c8190a1776908619ad979 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761b614e88190877455edd5f64cf1 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:31 p.m.