Triple
T37499700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skunkworks |
E931922
|
entity |
| Predicate | marksStylisticDepartureFrom |
P21658
|
FINISHED |
| Object | traditional heavy metal sound |
—
|
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: traditional heavy metal sound | Statement: [Skunkworks, marksStylisticDepartureFrom, traditional heavy metal sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksStylisticDepartureFrom Context triple: [Skunkworks, marksStylisticDepartureFrom, traditional heavy metal sound]
-
A.
marksStylisticShiftFrom
chosen
Indicates that one element signals a change in style, tone, or manner relative to another element.
-
B.
stylisticSignificance
Indicates that one entity holds importance or meaning specifically because of its style or manner of expression in relation to another entity or context.
-
C.
stylisticElement
Indicates a relationship where one entity functions as a stylistic feature, device, or characteristic that shapes the expressive or aesthetic quality of another entity.
-
D.
stylisticUniqueness
Indicates that one entity possesses a distinctive style or manner that sets it apart from others.
-
E.
stylisticEffect
Indicates the relationship where one element produces, contributes to, or embodies a particular stylistic impact or impression on another.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.