Triple

T7517526
Position Surface form Disambiguated ID Type / Status
Subject ESPN women's college basketball analyst E177683 entity
Predicate employer P7 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: [ESPN women's college basketball analyst, employer, ESPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN
Context triple: [ESPN women's college basketball analyst, employer, 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. ESPN3
    ESPN3 is an online streaming sports network from ESPN that broadcasts a wide range of live and replayed sporting events over the internet.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f6ccc8819080ffd123fdd59a50 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.