Triple

T6278826
Position Surface form Disambiguated ID Type / Status
Subject Gabourey Sidibe E140727 entity
Predicate workedWith P398 FINISHED
Object Ryan Murphy E199781 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: Ryan Murphy | Statement: [Gabourey Sidibe, workedWith, Ryan Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Murphy
Context triple: [Gabourey Sidibe, workedWith, Ryan Murphy]
  • A. Ryan Murphy chosen
    Ryan Murphy is an American television producer, writer, and director best known for creating hit series such as Glee, American Horror Story, and Pose.
  • B. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • C. Josh Schwartz
    Josh Schwartz is an American television writer and producer best known for creating popular teen dramas such as The O.C., Gossip Girl, and co-creating Marvel’s Runaways.
  • D. Danny Strong
    Danny Strong is an American actor, screenwriter, and producer known for his work on acclaimed projects such as the TV series Empire and the films Recount and Game Change.
  • E. Michael Patrick King
    Michael Patrick King is an American writer, director, and producer best known for his work on the television series "Sex and the City" and its related projects.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.