Triple

T6297947
Position Surface form Disambiguated ID Type / Status
Subject Gina Linetti E141177 entity
Predicate creator P184 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: [Gina Linetti, creator, Michael Schur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Schur
Context triple: [Gina Linetti, creator, 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. Alec Berg
    Alec Berg is an American television writer, producer, and director known for his work on acclaimed comedy series such as Seinfeld, Curb Your Enthusiasm, and Silicon Valley.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643bd0748190af7abbebb6f94242 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51993b8ec8190a0813d66851ac201 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.