Triple
T21707845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Baldaccini |
E535817
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baldaccini |
—
|
NE NERFINISHED |
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: Baldaccini | Statement: [César Baldaccini, familyName, Baldaccini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldaccini Context triple: [César Baldaccini, familyName, Baldaccini]
-
A.
Baldaccini
chosen
Baldaccini is the surname of César Baldaccini, a renowned French sculptor associated with the Nouveau Réalisme movement.
-
B.
Cassina
Cassina is an Italian furniture company renowned for its high-end, design-led modern and contemporary furnishings and collaborations with iconic architects and designers.
-
C.
Tamburini
Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
-
D.
Lambertini
Lambertini is an Italian surname most notably borne by Prospero Lorenzo Lambertini, who became Pope Benedict XIV in the 18th century.
-
E.
Niccolini
Niccolini is an Italian surname historically associated with several notable figures in the arts, politics, and religion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5314a288190b4b8347cca15aaa8 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.