Triple
T19916150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Pianola Music |
E478668
|
entity |
| Predicate | featuresVoices |
P83117
|
FINISHED |
| Object | three female voices |
—
|
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: three female voices | Statement: [Grand Pianola Music, featuresVoices, three female voices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVoices Context triple: [Grand Pianola Music, featuresVoices, three female voices]
-
A.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
B.
hasVoices
chosen
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
-
C.
featuresVocoder
Indicates that one entity includes or provides a vocoder as a functional component or feature of another entity.
-
D.
voiceTexture
Indicates the characteristic quality or timbre of a voice as perceived in sound.
-
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65994f4608190b79771ddea1040f5 |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.