Triple
T2415033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Máxima Zorreguieta Cerruti |
E52282
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zorreguieta |
E92506
|
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: Zorreguieta | Statement: [Máxima Zorreguieta Cerruti, familyName, Zorreguieta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorreguieta Context triple: [Máxima Zorreguieta Cerruti, familyName, Zorreguieta]
-
A.
Zorreguieta
chosen
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Carballal
Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
-
C.
Herrero
Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
-
D.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
E.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94bd7ec81909f5b4a16a406165b |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf4748d0819088aec3bc14dc5519 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:41 p.m.