Triple
T18690406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Kuveiller |
E456981
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luigi Kuveiller |
—
|
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: Luigi Kuveiller | Statement: [Luigi Kuveiller, name, Luigi Kuveiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luigi Kuveiller Context triple: [Luigi Kuveiller, name, Luigi Kuveiller]
-
A.
Luigi Kuveiller
chosen
Luigi Kuveiller was an Italian cinematographer known for his visually distinctive work on films such as Avanti!, Deep Red, and Investigation of a Citizen Above Suspicion.
-
B.
Luigino
Luigino is an Italian given name, typically a diminutive form of Luigi.
-
C.
Luigi Risotto
Luigi Risotto is a recurring character on *The Simpsons*, portrayed as an Italian restaurateur and chef who runs the upscale Italian restaurant in Springfield.
-
D.
Mario Tosi
Mario Tosi is an Italian-born cinematographer known for his work on several notable American films in the 1970s and 1980s.
-
E.
Carlo
Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.