Triple

T21687068
Position Surface form Disambiguated ID Type / Status
Subject Mom E535255 entity
Predicate executiveProducer P7225 FINISHED
Object Nick Bakay 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: Nick Bakay | Statement: [Mom, executiveProducer, Nick Bakay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Bakay
Context triple: [Mom, executiveProducer, Nick Bakay]
  • A. Nick Bakay chosen
    Nick Bakay is an American actor, writer, and comedian best known as the voice of the sarcastic cat Salem Saberhagen on the television series "Sabrina the Teenage Witch."
  • B. Neil Baczynsky
    Neil Baczynsky is a central student character in the 2009 musical drama film "Fame," portrayed as an aspiring performer navigating the challenges of a prestigious performing arts high school.
  • C. Nick Baker
    Nick Baker is a British radio producer best known for his work on BBC Radio 4 programmes, including the language-focused series "Fry's English Delight."
  • D. Nick Baker
    Nick Baker is a British naturalist and television presenter best known for hosting wildlife and nature programmes.
  • E. Daren Kagasoff
    Daren Kagasoff is an American actor best known for his starring role as Ricky Underwood on the teen drama series "The Secret Life of the American Teenager."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.