Triple

T15959514
Position Surface form Disambiguated ID Type / Status
Subject Christopher Chulack E387020 entity
Predicate employer P7 FINISHED
Object TNT 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 | Statement: [Christopher Chulack, employer, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [Christopher Chulack, employer, TNT]
  • A. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • B. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • C. TNT
    TNT (trinitrotoluene) is a widely used high explosive known for its stability, ease of handling, and role as a standard measure of explosive power.
  • D. TNT
    TNT is a Norwegian hard rock and heavy metal band known for its melodic sound and influential role in the 1980s Scandinavian metal scene.
  • E. TNT
    TNT is a 1980 album by the British post-punk band Tortoise, known for its experimental, instrumental soundscapes that blend rock, jazz, and electronic influences.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe806ef4819095a4dfe104d0bdc8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.