Triple

T9320478
Position Surface form Disambiguated ID Type / Status
Subject Eve Baird E224239 entity
Predicate createdFor P7551 FINISHED
Object TNT television 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 television network | Statement: [Eve Baird, createdFor, TNT television network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT television network
Context triple: [Eve Baird, createdFor, TNT television network]
  • A. TNT network chosen
    TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
  • B. Associated Television
    Associated Television, commonly known as ATV, was a major British commercial television company that operated regional ITV franchises and became influential in shaping UK broadcasting during the mid-20th century.
  • C. ABC television network
    ABC television network is a major American broadcast television network known for airing a wide range of popular entertainment, news, and sports programming nationwide.
  • 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. Telepictures
    Telepictures is an American television production company best known for producing syndicated talk shows and other popular entertainment 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358dcb4c81909e00bfb58a6dda3f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7cc71e48190afdc3f1120ce5e02 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.