Triple
T13827257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Francisco Ruiz |
E332282
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ruiz |
E50696
|
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: Ruiz | Statement: [José Francisco Ruiz, familyName, Ruiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruiz Context triple: [José Francisco Ruiz, familyName, Ruiz]
-
A.
Ruiz
chosen
Ruiz is a common Spanish-language surname borne by many notable individuals across sports, arts, and public life.
-
B.
Álvaro
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
C.
Raúl
Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Rubén
Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Bautista
Bautista is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in sports, politics, and the arts.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0eb7f44819087b1d24e4235a972 |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:13 p.m.