Triple
T37932329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hilliard Ensemble |
E946250
|
entity |
| Predicate | voiceTypeFocus |
P192264
|
FINISHED |
| Object | male 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: male voices | Statement: [The Hilliard Ensemble, voiceTypeFocus, male voices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeFocus Context triple: [The Hilliard Ensemble, voiceTypeFocus, male voices]
-
A.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
C.
firstSpeechFocus
Indicates that the referenced entity is the primary or initial focus or topic of attention in a given speech or utterance.
-
D.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
E.
dialogueFocus
Indicates that the primary attention or emphasis within a dialogue is centered on a particular participant, topic, or element.
- F. None of above. chosen
Provenance (4 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69fd026757a081909911a59a78652709 |
completed | May 7, 2026, 9:21 p.m. |
Created at: May 3, 2026, 4:20 p.m.