Triple
T37157834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law & Order theme |
E920557
|
entity |
| Predicate | hasSoundElement |
P22084
|
FINISHED |
| Object | electronic percussion |
—
|
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: electronic percussion | Statement: [Law & Order theme, hasSoundElement, electronic percussion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundElement Context triple: [Law & Order theme, hasSoundElement, electronic percussion]
-
A.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasInitialSound
Indicates that one entity begins with the same initial sound (phoneme or onset) as another entity or specified sound.
-
C.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
D.
hasSoundEngine
Indicates that one entity is equipped with or contains a sound engine component.
-
E.
hasExperimentalSound
Indicates that something possesses or exhibits an unconventional, innovative, or avant-garde sound quality or style.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:15 p.m.