Triple
T12285019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porn Star Martini |
E292806
|
entity |
| Predicate | typicallyUsesSpirit |
P104050
|
FINISHED |
| Object | vodka |
—
|
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: vodka | Statement: [Porn Star Martini, typicallyUsesSpirit, vodka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyUsesSpirit Context triple: [Porn Star Martini, typicallyUsesSpirit, vodka]
-
A.
typeOfSpirit
Indicates the specific kind or category of spirit (e.g., ghost, demon, angel) that an entity belongs to.
-
B.
hasSpiritStills
Indicates that an entity possesses or contains one or more spirit stills used in distillation.
-
C.
intermediarySpirits
Indicates that one or more spirits act as intermediaries or go-betweens facilitating interaction or influence between other entities.
-
D.
viewOnSpirits
Indicates a stance, opinion, or perspective that an entity holds regarding spirits (such as supernatural beings or alcoholic beverages).
-
E.
inTheSpiritOf
Indicates that one entity acts, is created, or is characterized in a manner that follows the style, principles, or intent exemplified by another entity.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.