Triple

T5589113
Position Surface form Disambiguated ID Type / Status
Subject The Michael Richards Show E146830 entity
Predicate executiveProducer P7225 FINISHED
Object David Mandel E372522 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 Mandel | Statement: [The Michael Richards Show, executiveProducer, David Mandel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Mandel
Context triple: [The Michael Richards Show, executiveProducer, David Mandel]
  • A. David Mandel chosen
    David Mandel is an American television writer, director, and producer best known for his work on comedy series such as Veep, Seinfeld, and Curb Your Enthusiasm.
  • B. 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.
  • C. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • D. Adam Shulman
    Adam Shulman is an American actor and jewelry designer best known as the husband of actress Anne Hathaway.
  • E. Daniel Mandell
    Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059fc908c819087eb9b81fedffb4f completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:38 p.m.