Triple

T5797608
Position Surface form Disambiguated ID Type / Status
Subject NBA Slam Dunk Contest E128545 entity
Predicate televisionNetwork P833 FINISHED
Object TBS E3613 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: TBS | Statement: [NBA Slam Dunk Contest, televisionNetwork, TBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TBS
Context triple: [NBA Slam Dunk Contest, televisionNetwork, TBS]
  • A. TBS chosen
    TBS is an American cable television network known for airing comedy programming, movies, and major sports events, including NCAA Division I Men’s Basketball Tournament games.
  • B. TBS
    TBS is the United States Marine Corps’ primary officer training and education institution where newly commissioned officers learn the fundamentals of leading Marines.
  • C. TBS
    TBS is the three-letter IATA airport code for Tbilisi International Airport, serving the capital city of Georgia.
  • D. Nippon Television Network
    Nippon Television Network is a major Japanese commercial television broadcaster based in Tokyo and part of the influential Yomiuri media conglomerate.
  • E. Fuji Television Network, Inc.
    Fuji Television Network, Inc. is a major Japanese commercial television broadcaster based in Tokyo, known for producing popular entertainment, news, and anime 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a945fe0819095e62d480c84a2b5 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098302d4c81908b56747d304b3e6a completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.