Triple
T8981301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Michael Granato |
E214533
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Granato |
E601970
|
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: Granato | Statement: [Cameron Michael Granato, familyName, Granato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granato Context triple: [Cameron Michael Granato, familyName, Granato]
-
A.
Granato
chosen
Granato is an Italian surname borne by various notable individuals in sports and other fields.
-
B.
Cerezo
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
-
C.
Malvazia
Malvazia is a traditional Mediterranean wine grape variety, best known for producing rich, aromatic Malvasia-style wines ranging from dry to lusciously sweet.
-
D.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
E.
Neri
Neri is an Italian surname most notably associated with Saint Philip Neri, a 16th-century Catholic priest and founder of the Congregation of the Oratory.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a76f748190a4abad5d53d58fa8 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc974f0f8819085c63deb53b95b80 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.