Triple

T9378683
Position Surface form Disambiguated ID Type / Status
Subject Peter Erskine E225720 entity
Predicate memberOf P10 FINISHED
Object Yellowjackets E505294 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: Yellowjackets | Statement: [Peter Erskine, memberOf, Yellowjackets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yellowjackets
Context triple: [Peter Erskine, memberOf, Yellowjackets]
  • A. Yellowjackets
    Yellowjackets is a psychological horror-drama television series that follows a high school girls' soccer team after a plane crash leaves them stranded in the wilderness, interweaving their traumatic survival past with their troubled adult lives.
  • B. Yellowjackets
    Yellowjackets is the nickname for the athletic teams and student body of the University of Rochester.
  • C. Yellowjackets
    Yellowjackets is the collective name for the University of Wisconsin–Superior’s athletic teams competing in collegiate sports.
  • D. Yellowjackets chosen
    Yellowjackets is a Grammy-winning American jazz fusion band known for its sophisticated blend of jazz, R&B, and funk.
  • E. Yellow Jackets
    Yellow Jackets is the collective name for the varsity athletic teams representing American International College in intercollegiate 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50ac8aec8190a386c525e9cab7b1 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f42a048081909012052e3dc77598 completed April 4, 2026, 11:21 a.m.
Created at: March 30, 2026, 7:44 p.m.