Triple
T6305330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begoña Gómez Fernández |
E141360
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gómez |
E172577
|
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: Gómez | Statement: [Begoña Gómez Fernández, familyName, Gómez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gómez Context triple: [Begoña Gómez Fernández, familyName, Gómez]
-
A.
González
González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
-
B.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
C.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
D.
Gutiérrez
Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
-
E.
Gomez
chosen
Gomez is a common Spanish-origin surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06479acec819090306a155a03b774 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44527488190b3d605e917c8dfb2 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.