Triple

T21743249
Position Surface form Disambiguated ID Type / Status
Subject A. J. Langer E536718 entity
Predicate appearedIn P795 FINISHED
Object Coach NE NERFINISHED

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: [A. J. Langer, appearedIn, Coach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coach
Context triple: [A. J. Langer, appearedIn, 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
    Coach is a recurring character on the TV sitcom "New Girl," known as one of Jess's male roommates and a personal trainer with an intense yet often awkwardly funny personality.
  • D. Coach
    Coach is a supporting character in the 1986 fantasy drama film "The Boy Who Could Fly," serving as an authority figure within the school setting.
  • E. Coach Steve
    Coach Steve is a dim-witted, overly enthusiastic middle school gym teacher and recurring comic character from the animated series "Big Mouth."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.