Triple

T12374453
Position Surface form Disambiguated ID Type / Status
Subject Happy Endings E295085 entity
Predicate executiveProducer P7225 FINISHED
Object David Caspe E979357 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: David Caspe | Statement: [Happy Endings, executiveProducer, David Caspe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Caspe
Context triple: [Happy Endings, executiveProducer, David Caspe]
  • A. David Caspe chosen
    David Caspe is an American television writer and producer best known for creating the cult-favorite sitcom "Happy Endings" and co-creating several other comedy series.
  • B. Dan Riccio
    Dan Riccio is a senior Apple executive and longtime hardware engineering leader known for overseeing the development of many of the company’s major products.
  • C. Josh Gracin
    Josh Gracin is an American country music singer and former U.S. Marine who gained national recognition as a standout contestant on the second season of American Idol.
  • D. Joe Mantello
    Joe Mantello is an acclaimed American actor and director, particularly renowned for his work on Broadway in both plays and musicals.
  • E. Dean Fuller
    Dean Fuller is a writer best known as one of the co-authors of the book for the musical comedy "Once Upon a Mattress."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63473efd481909b2061f3b19e1aaf completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.