Triple
T23442735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Mintz as Tina Belcher |
E565445
|
entity |
| Predicate | castingNote |
P152302
|
FINISHED |
| Object | Dan Mintz auditioned for a different role |
—
|
LITERAL 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: Dan Mintz auditioned for a different role | Statement: [Dan Mintz as Tina Belcher, castingNote, Dan Mintz auditioned for a different role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castingNote Context triple: [Dan Mintz as Tina Belcher, castingNote, Dan Mintz auditioned for a different role]
-
A.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
B.
notableCastFeature
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
-
C.
castBy
Indicates that one entity (typically a role or character) is portrayed or performed by another entity (typically an actor or performer).
-
D.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
E.
castingReason
Indicates the reason or justification for selecting or assigning a particular entity (e.g., a person or object) to a specific role, function, or category.
- F. None of above. chosen
Provenance (4 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:51 p.m.