Triple

T15393328
Position Surface form Disambiguated ID Type / Status
Subject Just Shoot Me! E368103 entity
Predicate executiveProducer P7225 FINISHED
Object Danny Jacobson E755648 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: Danny Jacobson | Statement: [Just Shoot Me!, executiveProducer, Danny Jacobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Jacobson
Context triple: [Just Shoot Me!, executiveProducer, Danny Jacobson]
  • A. Danny Jacobson chosen
    Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
  • B. Jeffrey Reiner
    Jeffrey Reiner is an American television director, producer, and writer known for his work on series such as Friday Night Lights and The Affair.
  • C. Geoff Rodkey
    Geoff Rodkey is an American screenwriter and author known for his work on family comedies and children's books, including the film "Daddy Day Care."
  • D. Michael Daves
    Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
  • E. Jeffrey Seller
    Jeffrey Seller is a prominent American theatrical producer best known for bringing groundbreaking Broadway musicals like "Hamilton," "Rent," and "Avenue Q" to the stage.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:19 a.m.