Triple

T4932366
Position Surface form Disambiguated ID Type / Status
Subject Jon Gruden E110725 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: [Jon Gruden, employer, ESPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN
Context triple: [Jon Gruden, 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a9dff481908c7f525f233d9bce completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.