Triple
T17545947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experimental Jet Set, Trash and No Star |
E427323
|
entity |
| Predicate | hasMoreIntimateProductionStyle |
P127867
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Experimental Jet Set, Trash and No Star, hasMoreIntimateProductionStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoreIntimateProductionStyle Context triple: [Experimental Jet Set, Trash and No Star, hasMoreIntimateProductionStyle, true]
-
A.
isIntimatePerformance
Indicates a performance characterized by close personal proximity, emotional closeness, or a private setting between the participants.
-
B.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
C.
hasRomanticSceneAt
Indicates that a romantic scene occurs at a specific location or point in time within a work or context.
-
D.
genitalsProduced
Indicates that one entity has produced or generated the genitals of another entity.
-
E.
isDiscreet
Indicates that an entity consistently avoids drawing attention or revealing sensitive information in its actions or interactions.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.