Triple

T7849166
Position Surface form Disambiguated ID Type / Status
Subject The Nanny E181999 entity
Predicate executiveProducer P7225 FINISHED
Object Peter Marc Jacobson E699889 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: Peter Marc Jacobson | Statement: [The Nanny, executiveProducer, Peter Marc Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Marc Jacobson
Context triple: [The Nanny, executiveProducer, Peter Marc Jacobson]
  • A. Peter Marc Jacobson chosen
    Peter Marc Jacobson is an American television writer, producer, and director best known for co-creating the hit sitcom "The Nanny."
  • B. Larry Jacobson
    Larry Jacobson is a television producer best known for his role as an executive producer on the late-night talk program "The Jay Leno Show."
  • C. David Jacobs
    David Jacobs is an American television writer and producer best known for creating the prime-time soap operas "Knots Landing" and co-creating "Dallas."
  • D. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • E. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf1834b08190ab9fd79387e496a7 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:50 p.m.