Triple
T23672733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rip the Jacker |
E584775
|
entity |
| Predicate | featuresProducerStyle |
P70571
|
FINISHED |
| Object | sample-based production |
—
|
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: sample-based production | Statement: [Rip the Jacker, featuresProducerStyle, sample-based production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProducerStyle Context triple: [Rip the Jacker, featuresProducerStyle, sample-based production]
-
A.
featuresProducer
chosen
Indicates that an entity serves as the producer or creator responsible for generating the features of another entity.
-
B.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
C.
producerCharacteristic
Indicates a relationship where a producer is associated with a particular attribute, quality, or trait that characterizes them or their production.
-
D.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
E.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
- F. None of above.
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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b410bd788190b2c6853e13287ace |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.