Triple

T391954
Position Surface form Disambiguated ID Type / Status
Subject Kevin McHale E8899 entity
Predicate workedFor P1910 FINISHED
Object NBA TV E45858 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: NBA TV | Statement: [Kevin McHale, workedFor, NBA TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NBA TV
Context triple: [Kevin McHale, workedFor, NBA TV]
  • A. NBA TV chosen
    NBA TV is an American sports television network dedicated to comprehensive coverage of the National Basketball Association, including live games, analysis, and original programming.
  • B. NBA on TNT
    NBA on TNT is a long-running American television program that features live NBA game broadcasts, studio analysis, and commentary, best known for its popular "Inside the NBA" studio show.
  • C. NBA.com
    NBA.com is the official website of the National Basketball Association, providing news, scores, statistics, video highlights, and other league-related content.
  • D. ESPN
    ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
  • E. ESPN Classic
    ESPN Classic was a U.S. cable sports television network owned by ESPN that specialized in rebroadcasts of notable past sporting events and classic sports 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7492288190bf33c9c869a0710f completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f74cd08190a2e165506638607c completed March 1, 2026, 9:25 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.