Triple

T16396232
Position Surface form Disambiguated ID Type / Status
Subject A Christmas Carol (1999 film) E398187 entity
Predicate productionCompany P490 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: [A Christmas Carol (1999 film), productionCompany, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [A Christmas Carol (1999 film), productionCompany, 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cb3c708190b64341cb1410ed81 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003575e51c8190a8677f658eb73a30 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.