Triple

T13213661
Position Surface form Disambiguated ID Type / Status
Subject Mark Jackson E314553 entity
Predicate workedAsBroadcasterFor P833 FINISHED
Object ESPN E6069 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 | Statement: [Mark Jackson, workedAsBroadcasterFor, ESPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN
Context triple: [Mark Jackson, workedAsBroadcasterFor, ESPN]
  • A. ESPN chosen
    ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
  • B. ESPN3
    ESPN3 is an online streaming sports network from ESPN that broadcasts a wide range of live and replayed sporting events over the internet.
  • C. ESPN2
    ESPN2 is an American cable sports television channel owned by ESPN that features a wide range of live sporting events, talk shows, and sports-related programming.
  • D. ESPN.com
    ESPN.com is the sports media giant’s primary website, offering news, scores, analysis, video, and live coverage across a wide range of sports.
  • E. CBS Sports
    CBS Sports is the sports division of the CBS television network, known for broadcasting major American sporting events including NFL games, college football and basketball, and golf tournaments.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f61475dc81909c16b99efd5812a0 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.