Triple
T30622470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell It |
E779485
|
entity |
| Predicate | featuresVocalForces |
P62769
|
FINISHED |
| Object | large choir |
—
|
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: large choir | Statement: [Tell It, featuresVocalForces, large choir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVocalForces Context triple: [Tell It, featuresVocalForces, large choir]
-
A.
vocalForces
Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
-
B.
hasVocalForces
chosen
Indicates that an entity involves or employs vocal performers or vocal parts as a contributing force.
-
C.
featuresVocal
Indicates that one entity includes or presents the vocal performance or voice of another entity.
-
D.
featuresVocalPercussion
Indicates that the subject includes or makes use of vocal percussion (such as beatboxing or mouth-made rhythmic sounds) as part of its content or performance.
-
E.
featuresVocalHarmonyBy
Indicates that the subject work includes vocal harmony performances contributed by the specified artist or group.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: April 29, 2026, 8:27 p.m.