Triple
T1480935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Rubbia |
E30953
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Carlo |
E75509
|
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: Carlo | Statement: [Carlo Rubbia, givenName, Carlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Context triple: [Carlo Rubbia, givenName, Carlo]
-
A.
Carlo
chosen
Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
-
B.
Enrico
Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
-
C.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
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.
Paolo
Paolo is the Italian form of the given name Paul, 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 (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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc986352881909dcc435095bc0f8f |
completed | March 8, 2026, 7:09 p.m. |
Created at: March 1, 2026, 8:11 p.m.