Triple
T8859719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefano Martini |
E210854
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stefano Martini |
E210854
|
NE 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: Stefano Martini | Statement: [Stefano Martini, name, Stefano Martini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefano Martini Context triple: [Stefano Martini, name, Stefano Martini]
-
A.
Stefano Martini
chosen
Stefano Martini is an individual notable enough to be recognized as a significant bearer of the Martini surname.
-
B.
Alessandro Martini
Alessandro Martini was a 19th-century Italian entrepreneur best known as a co-founder of the Martini & Rossi vermouth and sparkling wine brand.
-
C.
Loris Martini
Loris Martini is an individual notable enough to be recognized as a bearer of the Martini surname.
-
D.
Maurizio Bianchi
Maurizio Bianchi is an Italian pioneer of industrial and noise music, known for his early 1980s experimental electronic recordings and influential work in the underground cassette culture.
-
E.
Enzo Rossi
Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b1b86481909ec0b78de043d8f8 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.