Triple

T996853
Position Surface form Disambiguated ID Type / Status
Subject Curt Schilling E21513 entity
Predicate broadcasterFor P16302 FINISHED
Object ESPN E6069 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: ESPN | Statement: [Curt Schilling, broadcasterFor, ESPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN
Context triple: [Curt Schilling, broadcasterFor, ESPN]
  • A. ESPN chosen
    ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
  • B. ESPN2
    ESPN2 is an American cable sports television channel owned by ESPN that features a wide range of live sporting events, talk shows, and sports-related programming.
  • C. ESPN.com
    ESPN.com is the sports media giant’s primary website, offering news, scores, analysis, video, and live coverage across a wide range of sports.
  • D. CBS Sports
    CBS Sports is the sports division of the CBS television network, known for broadcasting major American sporting events including NFL games, college football and basketball, and golf tournaments.
  • E. Turner Sports
    Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e0f0d081908b888c246d001786 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2593a6588190b52989e9670d84e3 completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.