Triple
T37357980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papageno |
E927504
|
entity |
| Predicate | voiceRange |
P1151
|
FINISHED |
| Object | middle male voice |
—
|
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: middle male voice | Statement: [Papageno, voiceRange, middle male voice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceRange Context triple: [Papageno, voiceRange, middle male voice]
-
A.
vocalRange
chosen
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
B.
hasVocalRangeDescription
Indicates that an entity is associated with a textual description of its vocal range or vocal capabilities.
-
C.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
D.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
E.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:16 p.m.