Triple

T6666294
Position Surface form Disambiguated ID Type / Status
Subject Brian Kenny E151611 entity
Predicate notableWork P4 FINISHED
Object SportsCenter E37942 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: SportsCenter | Statement: [Brian Kenny, notableWork, SportsCenter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SportsCenter
Context triple: [Brian Kenny, notableWork, SportsCenter]
  • A. SportsCenter chosen
    SportsCenter is ESPN’s flagship daily sports news and highlights television program, featuring scores, analysis, and coverage of major sporting events.
  • B. Sporting News
    Sporting News is a long-running American sports media outlet known for its in-depth coverage, analysis, and awards across major professional and college sports.
  • C. Yahoo Sports
    Yahoo Sports is a digital sports media platform providing news, scores, fantasy games, and live coverage across a wide range of professional and collegiate sports.
  • D. Bleacher Report
    Bleacher Report is a digital sports media company known for its real-time coverage, analysis, and social-first content across major sports and leagues.
  • E. ESPN
    ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09d97648190a254cabc0ffcb0dc completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0e33308190995fcccf50d134c1 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.