Triple
T34370901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il piccolo Marat |
E882148
|
entity |
| Predicate | vocalTypeOfLaMadre |
P2000
|
FINISHED |
| Object | mezzo-soprano |
—
|
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: mezzo-soprano | Statement: [Il piccolo Marat, vocalTypeOfLaMadre, mezzo-soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalTypeOfLaMadre Context triple: [Il piccolo Marat, vocalTypeOfLaMadre, mezzo-soprano]
-
A.
vocalTypeOfMariella
Indicates that the specified vocal type is the one associated with Mariella.
-
B.
voiceTypeOfMary
Indicates the specific vocal classification or type that characterizes Mary’s voice.
-
C.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
-
D.
voiceType
chosen
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
E.
vocalTypeOfEmilia
Indicates the specific vocal classification or voice type associated with Emilia.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 1, 2026, 1:59 a.m.