Triple
T20316785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Tabárez |
E510399
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object | Real Oviedo |
—
|
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: Real Oviedo | Statement: [Óscar Tabárez, managedTeam, Real Oviedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real Oviedo Context triple: [Óscar Tabárez, managedTeam, Real Oviedo]
-
A.
Real Oviedo
chosen
Real Oviedo is a historic Spanish football club based in Oviedo, Asturias, known for its passionate fanbase and fluctuating presence between the top professional divisions.
-
B.
Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
-
C.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
-
D.
León de la Barra
León de la Barra is the surname of Francisco León de la Barra, a Mexican lawyer, diplomat, and interim president of Mexico in 1911.
-
E.
Rollán
Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67787af188190bc32a3049c9c5b39 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:19 a.m.