Triple
T18463733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ing. Nicola Romeo & Co. |
E451102
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Nicola Romeo |
—
|
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: Nicola Romeo | Statement: [Ing. Nicola Romeo & Co., keyPerson, Nicola Romeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicola Romeo Context triple: [Ing. Nicola Romeo & Co., keyPerson, Nicola Romeo]
-
A.
Nicola Romeo
chosen
Nicola Romeo was an Italian engineer and entrepreneur best known for taking over and transforming the car manufacturer that became Alfa Romeo into a prominent automotive brand.
-
B.
Nicola Antonelli
Nicola Antonelli is an individual notable enough to be recognized as a bearer of the Italian surname Antonelli.
-
C.
Nicola Nocella
Nicola Nocella is an Italian actor known for his roles in contemporary Italian cinema and television comedies and dramas.
-
D.
Nicola Giordano
Nicola Giordano is an individual notable enough to be recognized as a prominent bearer of the Italian surname Giordano.
-
E.
Nicola De Martino
Nicola De Martino is an individual notable enough to be recognized as a bearer of the surname De Martino.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8190508190a74b1d3482364905 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:33 a.m.