Triple
T9298868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanca Rosa Welter |
E223708
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Blanca |
E191275
|
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: Blanca | Statement: [Blanca Rosa Welter, givenName, Blanca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanca Context triple: [Blanca Rosa Welter, givenName, Blanca]
-
A.
Blanca
chosen
Blanca is a feminine given name, common in Spanish-speaking cultures, that corresponds to the English and French name Blanche.
-
B.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
C.
La Rojita
La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
-
D.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
E.
Paloma
Paloma is a feminine given name of Spanish origin meaning "dove," famously borne by designer Paloma Picasso.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7717f30819095fc3e6e4f765790 |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:36 p.m.