Triple
T14389362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivetti |
E356800
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Carlo De Benedetti |
—
|
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: Carlo De Benedetti | Statement: [Olivetti, hasKeyPerson, Carlo De Benedetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo De Benedetti Context triple: [Olivetti, hasKeyPerson, Carlo De Benedetti]
-
A.
Carlo De Benedetti
chosen
Carlo De Benedetti is an Italian industrialist and publisher known for leading major companies such as Olivetti and for his influential role in European business and media.
-
B.
Sylvano Balboni
Sylvano Balboni was an Italian cinematographer and film professional best known for his marriage to pioneering Hollywood screenwriter and producer June Mathis.
-
C.
Guido Quaroni
Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
-
D.
Livio Santini
Livio Santini is an architect best known as a co-founder of the influential architecture firm Morphosis.
-
E.
Enrico Colantoni
Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
Created at: April 10, 2026, 1:16 a.m.