Triple

T8266652
Position Surface form Disambiguated ID Type / Status
Subject ESPN original programming E193317 entity
Predicate includesShow P81597 FINISHED
Object NFL Live E317638 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: NFL Live | Statement: [ESPN original programming, includesShow, NFL Live]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFL Live
Context triple: [ESPN original programming, includesShow, NFL Live]
  • A. NFL Live chosen
    NFL Live is an ESPN television program that provides news, analysis, and discussion about the National Football League.
  • B. Football Night in America
    Football Night in America is NBC’s flagship NFL pregame show that provides analysis, highlights, and commentary leading into Sunday Night Football broadcasts.
  • C. Fox Sports Live
    Fox Sports Live is a sports news and highlights television program that served as Fox Sports' flagship nightly studio show, featuring game recaps, analysis, and commentary.
  • D. NFL GameDay Final
    NFL GameDay Final is a postgame highlight and analysis show that recaps each week’s NFL action on NFL Network.
  • E. NFL Network
    NFL Network is a cable and streaming television channel owned by the National Football League that provides 24/7 coverage of NFL games, news, analysis, and original 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357ecadc81909eb92655a2cbb7e6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:50 p.m.