Triple

T1781515
Position Surface form Disambiguated ID Type / Status
Subject ESPN.com E39299 entity
Predicate associatedWith P37 FINISHED
Object ESPN Fantasy app E199959 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 Fantasy app | Statement: [ESPN.com, associatedWith, ESPN Fantasy app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN Fantasy app
Context triple: [ESPN.com, associatedWith, ESPN Fantasy app]
  • A. ESPN Fantasy chosen
    ESPN Fantasy is ESPN's online platform for managing and playing fantasy sports leagues across games like football, basketball, baseball, and more.
  • B. NFL GameDay Final
    NFL GameDay Final is a postgame highlight and analysis show that recaps each week’s NFL action on NFL Network.
  • C. ESPN app
    The ESPN app is a mobile and connected-device application that lets users stream live sports, watch ESPN+ content, and access scores, news, and highlights from ESPN’s networks.
  • D. NFL Mobile
    NFL Mobile is a smartphone application that provides live NFL games, scores, news, and video content to football fans on mobile devices.
  • E. NFL Media
    NFL Media is the media and content division of the National Football League, encompassing its television, digital, and other multimedia platforms.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5cbefec8190940cf2a4f692394e completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.