Triple
T8342812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonela Roccuzzo |
E195961
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Antonela |
E195961
|
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: Antonela | Statement: [Antonela Roccuzzo, givenName, Antonela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antonela Context triple: [Antonela Roccuzzo, givenName, Antonela]
-
A.
Antonela Roccuzzo
chosen
Antonela Roccuzzo is an Argentine model and businesswoman best known as the longtime partner and wife of footballer Lionel Messi.
-
B.
Fabiana Udenio
Fabiana Udenio is an Italian-Argentinian actress best known for her comedic and character roles in film and television, including a memorable turn in the Austin Powers franchise.
-
C.
Maria Paola
Maria Paola is the Italian form of the given name borne by Pauline Bonaparte, Napoleon Bonaparte’s influential and famously beautiful sister.
-
D.
Alejandra
Alejandra is the feminine given name corresponding to Alejandro, commonly used in Spanish-speaking cultures.
-
E.
Marianela Núñez
Marianela Núñez is an acclaimed Argentine-born principal ballerina renowned for her virtuosity and artistry with The Royal Ballet in London.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7febde288190bf4677fb24d26b83 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ccf66d48190a457e0ea869b278e |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 5:58 p.m.