Triple
T6028265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Baxter Orchestra |
E134233
|
entity |
| Predicate | soundDescribedAs |
P8089
|
FINISHED |
| Object | cinematic |
—
|
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: cinematic | Statement: [Les Baxter Orchestra, soundDescribedAs, cinematic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundDescribedAs Context triple: [Les Baxter Orchestra, soundDescribedAs, cinematic]
-
A.
soundCharacter
chosen
Indicates a relationship where one entity specifies the quality, style, or distinguishing characteristics of a sound produced or perceived in another entity.
-
B.
soundDesignBy
Indicates that the sound design for a work (such as a film, game, or performance) is created or supervised by a particular person or entity.
-
C.
depictsSound
Indicates that one entity visually represents or portrays the sound produced by another entity.
-
D.
soundEffects
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
E.
soundHeardDistanceApproximate
Indicates that a sound was heard at an estimated, not precisely measured, distance from the listener or reference point.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560e3c2c8190aea2619386fc5538 |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.