Triple

T13240329
Position Surface form Disambiguated ID Type / Status
Subject Good Behavior E315262 entity
Predicate originalNetwork P2594 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: [Good Behavior, originalNetwork, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [Good Behavior, originalNetwork, 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. Tank
    Tank is a London-based art and fashion magazine known for its independent, avant-garde editorial approach and collaborations with experimental cultural projects.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.