Triple
T22718319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando (Handel) |
E561792
|
entity |
| Predicate | voiceTypeOfMedoro |
P106821
|
FINISHED |
| Object | alto castrato |
—
|
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: alto castrato | Statement: [Orlando (Handel), voiceTypeOfMedoro, alto castrato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceTypeOfMedoro Context triple: [Orlando (Handel), voiceTypeOfMedoro, alto castrato]
-
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.
voiceTypeOfDonRamiro
chosen
Indicates that the specified voice type is the vocal classification associated with the character Don Ramiro.
-
D.
characterTypeVoiced
Indicates that one character serves as the voice actor or vocal performer for another character.
-
E.
voiceTexture
Indicates the characteristic quality or timbre of a voice as perceived in sound.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790fbf9c819082ba7b48801a7b39 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62c24a1c819096c410906e9b173c |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:19 p.m.