Triple
T3320138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camillo Benso, Count of Cavour |
E69774
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Camillo |
E108596
|
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: Camillo | Statement: [Camillo Benso, Count of Cavour, givenName, Camillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camillo Context triple: [Camillo Benso, Count of Cavour, givenName, Camillo]
-
A.
Camillo
chosen
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
C.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
D.
Renzo
Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
-
E.
Gualtiero
Gualtiero is an Italian given name equivalent to the English name Walter.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13a4e948190841134d6ae6ef432 |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e4d4d948190b74116d1d21dc519 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:11 p.m.