Triple
T22491915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Rubiales |
E556040
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rubiales |
—
|
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: Rubiales | Statement: [Luis Rubiales, familyName, Rubiales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubiales Context triple: [Luis Rubiales, familyName, Rubiales]
-
A.
Luis Manuel Rubiales Béjar
chosen
Luis Manuel Rubiales Béjar is a Spanish former footballer and sports executive who served as president of the Royal Spanish Football Federation and became widely known internationally following a 2023 World Cup medal-ceremony controversy.
-
B.
Ricardo Carvajal
Ricardo Carvajal is an individual notable enough to be specifically cited as a bearer of the surname Carvajal.
-
C.
Ricardo Rojo
Ricardo Rojo is a notable individual recognized for bearing the surname Rojo.
-
D.
Suárez
Suárez is a municipality in Colombia, likely located near Flandes in the Tolima region.
-
E.
Suárez
Suárez is a common Spanish-language surname borne by numerous notable figures across politics, sports, arts, and literature in the Hispanic world.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15caea9d081909adc90ae78999d53 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.