Triple
T10285440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick's Café Américain |
E241213
|
entity |
| Predicate | setType |
P93256
|
FINISHED |
| Object | studio set |
—
|
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: studio set | Statement: [Rick's Café Américain, setType, studio set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setType Context triple: [Rick's Café Américain, setType, studio set]
-
A.
slotType
Indicates the classification or category assigned to a particular slot or position within a structure, system, or sequence.
-
B.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
C.
specType
Indicates the specific type or category of a specification that an entity is associated with.
-
D.
typeStratum
Indicates that one entity is classified as a geological or conceptual layer or stratum within which the other entity is situated or to which it belongs.
-
E.
SOType
Indicates the specific type or category of a sales order associated with an entity or transaction.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.