Triple

T6814269
Position Surface form Disambiguated ID Type / Status
Subject Parks and Recreation E156712 entity
Predicate executiveProducer P7225 FINISHED
Object Michael Schur E129930 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: Michael Schur | Statement: [Parks and Recreation, executiveProducer, Michael Schur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Schur
Context triple: [Parks and Recreation, executiveProducer, Michael Schur]
  • A. Michael Schur chosen
    Michael Schur is an American television writer and producer best known for co-creating acclaimed comedy series such as Parks and Recreation, The Good Place, and Brooklyn Nine-Nine.
  • B. David Crane
    David Crane is an American television writer and producer best known for co-creating the hit sitcom "Friends."
  • C. David Crane
    David Crane is an American video game designer and programmer best known as a co-founder of Activision and creator of classic games like Pitfall!.
  • D. Nicholas Stoller
    Nicholas Stoller is a British-American filmmaker and screenwriter best known for directing and writing popular comedy films such as Forgetting Sarah Marshall and Neighbors.
  • E. Spencer Kaling
    Spencer Kaling is the daughter of American actress, writer, and producer Mindy Kaling.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32c40508190932718a649fc1417 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9d19bc8190bbdc20178239bae1 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:17 p.m.