Triple
T34370902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il piccolo Marat |
E882148
|
entity |
| Predicate | vocalTypeOfIlCarpentiere |
P183150
|
FINISHED |
| Object | baritone |
—
|
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: baritone | Statement: [Il piccolo Marat, vocalTypeOfIlCarpentiere, baritone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalTypeOfIlCarpentiere Context triple: [Il piccolo Marat, vocalTypeOfIlCarpentiere, baritone]
-
A.
vocalTypeOfTancredi
Indicates the vocal classification or voice type associated with the character Tancredi.
-
B.
vocalCounterpartType
Indicates the type or category of a vocal counterpart relationship that one entity has to another (e.g., spoken, sung, dubbed, narrated).
-
C.
vocalTypeOfRodolfo
Indicates the specific vocal classification or voice type associated with the character Rodolfo.
-
D.
vocalTypeOfCioCioSan
Indicates the specific vocal classification or voice type assigned to the character Cio-Cio-San.
-
E.
vocalTypeOfIago
Indicates the specific vocal or voice type that characterizes Iago.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 1, 2026, 1:59 a.m.