Triple
T3871431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glee |
E92393
|
entity |
| Predicate | pilotDirector |
P16460
|
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: [Glee, pilotDirector, Ryan Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Murphy Context triple: [Glee, pilotDirector, 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.
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.
-
D.
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.
-
E.
Jason Katims
Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec54b0848190a8d4a0e4df7b6227 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c83512c81908db2e442b7d2aca0 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.