Triple
T12021122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gian-Carlo Wick |
E286149
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gian-Carlo |
E421307
|
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: Gian-Carlo | Statement: [Gian-Carlo Wick, givenName, Gian-Carlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gian-Carlo Context triple: [Gian-Carlo Wick, givenName, Gian-Carlo]
-
A.
Gian-Carlo
chosen
Gian-Carlo is the given name of Gian-Carlo Rota, an influential Italian-American mathematician and philosopher known for his work in combinatorics and probability theory.
-
B.
Carlo Gabriel Nero
Carlo Gabriel Nero is an Italian-British film director and screenwriter known for his work on independent films and for being part of a prominent acting family.
-
C.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
D.
Ferruccio
Ferruccio is an Italian masculine given name best known for its association with Ferruccio Lamborghini, the founder of the Lamborghini automobile company.
-
E.
Guido Caroli
Guido Caroli was an Italian speed skater best known for lighting the Olympic cauldron at the 1956 Winter Olympics in Cortina d'Ampezzo.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.