Triple

T9077465
Position Surface form Disambiguated ID Type / Status
Subject James Duff E217523 entity
Predicate employer P7 FINISHED
Object TNT (network) E3614 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: [James Duff, employer, TNT (network)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT (network)
Context triple: [James Duff, employer, TNT (network)]
  • A. TNT network
    TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
  • B. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • C. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • D. 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.
  • E. 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.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c6a67c81908d143aa25e1e803e completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe190c28819098ee017c75d72ad0 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:12 p.m.