Triple

T3785323
Position Surface form Disambiguated ID Type / Status
Subject Yellowjackets E85515 entity
Predicate executiveProducer P7225 FINISHED
Object Bart Nickerson E453314 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: Bart Nickerson | Statement: [Yellowjackets, executiveProducer, Bart Nickerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bart Nickerson
Context triple: [Yellowjackets, executiveProducer, Bart Nickerson]
  • A. Bart Nickerson chosen
    Bart Nickerson is a television writer and producer best known for co-creating the critically acclaimed psychological horror drama series "Yellowjackets."
  • B. Brian Nelson
    Brian Nelson is an American screenwriter best known for his work on the horror film "30 Days of Night" and the thriller "Hard Candy."
  • C. Dick Hantak
    Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
  • D. Bryan Bedford
    Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
  • E. Jere Burns
    Jere Burns is an American character actor known for his sharp, often villainous or darkly comedic roles in television series such as "Dear John," "Justified," and "Burn Notice."
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dd80f08190a1704521a764e22c completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde03b1f508190b9d5026103d3ee79 completed March 21, 2026, 12:03 a.m.
Created at: March 9, 2026, 3:13 p.m.