Triple

T10219962
Position Surface form Disambiguated ID Type / Status
Subject Jackie MacMullan E242548 entity
Predicate employer P7 FINISHED
Object ESPN.com E39299 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.com | Statement: [Jackie MacMullan, employer, ESPN.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN.com
Context triple: [Jackie MacMullan, employer, ESPN.com]
  • A. ESPN.com chosen
    ESPN.com is the sports media giant’s primary website, offering news, scores, analysis, video, and live coverage across a wide range of sports.
  • B. 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.
  • C. ESPN3
    ESPN3 is an online streaming sports network from ESPN that broadcasts a wide range of live and replayed sporting events over the internet.
  • 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. 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.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa715a3c8190a9ccee7bcece0346 completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6ffefb881908296481343fb7ad3 completed April 9, 2026, 12:46 a.m.
Created at: April 6, 2026, 11:08 a.m.