Triple
T12374403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masterminds |
E295084
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jody Hill |
E942581
|
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: Jody Hill | Statement: [Masterminds, producer, Jody Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jody Hill Context triple: [Masterminds, producer, Jody Hill]
-
A.
Jody Hill
chosen
Jody Hill is an American filmmaker, writer, and director best known for creating and directing dark comedy projects such as the HBO series "Eastbound & Down" and "Vice Principals."
-
B.
Evan Goldberg
Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
-
C.
Evan Goldberg
Evan Goldberg is a Canadian screenwriter, director, and producer best known for co-creating and co-writing hit comedies such as Superbad, Pineapple Express, and This Is the End.
-
D.
Mark Waters
Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
-
E.
Jon Bokenkamp
Jon Bokenkamp is an American screenwriter and producer best known for creating the television series "The Blacklist" and writing several thriller films.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.