Triple

T3741943
Position Surface form Disambiguated ID Type / Status
Subject 2010 NBA All-Star Game E79720 entity
Predicate televisionNetworkUnitedStates P833 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: [2010 NBA All-Star Game, televisionNetworkUnitedStates, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [2010 NBA All-Star Game, televisionNetworkUnitedStates, TNT]
  • A. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • B. TNT
    TNT is France's digital terrestrial television platform that broadcasts multiple free-to-air channels nationwide.
  • C. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • D. T.N.T.
    T.N.T. is a hard rock song and album by Australian band AC/DC, known for its explosive energy and anthemic chorus.
  • E. Tetro
    Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb563fac8190b6a55580d0386e8a completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db26adbc8190becd03db70e63112 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.