Triple

T15751070
Position Surface form Disambiguated ID Type / Status
Subject Mike Ditka E381844 entity
Predicate televisionShow P3279 FINISHED
Object NFL Countdown E722287 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 Countdown | Statement: [Mike Ditka, televisionShow, NFL Countdown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFL Countdown
Context triple: [Mike Ditka, televisionShow, NFL Countdown]
  • A. Sunday NFL Countdown chosen
    Sunday NFL Countdown is a long-running ESPN pregame show that provides analysis, previews, and features leading up to Sunday National Football League games.
  • B. NFL Live
    NFL Live is an ESPN television program that provides news, analysis, and discussion about the National Football League.
  • C. NBA Countdown
    NBA Countdown is a pregame studio show that provides analysis, commentary, and features ahead of NBA games broadcast on ABC and ESPN.
  • D. MLS Countdown
    MLS Countdown is a soccer-focused studio show that provides pregame analysis, commentary, and coverage of Major League Soccer matches on ESPN.
  • E. Saturday Night Football
    Saturday Night Football is ABC's primetime college football broadcast franchise, featuring marquee matchups under the lights each Saturday during the season.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.