Triple

T3342437
Position Surface form Disambiguated ID Type / Status
Subject Hayden Fox E70289 entity
Predicate appearsIn P795 FINISHED
Object Coach E70285 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: Coach | Statement: [Hayden Fox, appearsIn, Coach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coach
Context triple: [Hayden Fox, appearsIn, Coach]
  • A. Coach chosen
    Coach is an American television sitcom that follows the personal and professional life of a college football coach, best known for starring Craig T. Nelson.
  • B. Coach
    Coach is a luxury American fashion brand best known for its high-quality leather handbags, accessories, and lifestyle products.
  • C. Coach USA
    Coach USA is a large North American bus company that operates intercity, commuter, and charter services across the United States and parts of Canada.
  • D. Mr. Antolini
    Mr. Antolini is Holden Caulfield’s former English teacher and a concerned, if ultimately unsettling, adult mentor figure in J.D. Salinger’s novel "The Catcher in the Rye."
  • E. Randy Marsh
    Randy Marsh is a former Major League Baseball umpire who worked in the National League and MLB from the early 1980s through the 2000s, including numerous postseason and World Series assignments.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a946ba88190bd40ba7481baf28d completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.