Triple
T22473823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermín Lasuén |
E555573
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fermín |
—
|
NE NERFINISHED |
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: Fermín | Statement: [Fermín Lasuén, givenName, Fermín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fermín Context triple: [Fermín Lasuén, givenName, Fermín]
-
A.
Fermín
chosen
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
B.
Vicente
Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
-
C.
Bernabé
Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Basilio
Basilio is the surname of Enriqueta Basilio, the Mexican track and field athlete famed for being the first woman to light the Olympic cauldron at the 1968 Summer Olympics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.