Triple
T13092447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikel Arteta |
E310494
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arteta |
E310494
|
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: Arteta | Statement: [Mikel Arteta, familyName, Arteta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arteta Context triple: [Mikel Arteta, familyName, Arteta]
-
A.
Arteta
chosen
Arteta is a Spanish former professional footballer and current football manager best known for managing Arsenal in the English Premier League.
-
B.
Arismendi
Arismendi is a Spanish-language surname most notably associated with Venezuelan independence leader Juan Bautista Arismendi and his prominent political and military family.
-
C.
Lardizabala
Lardizabala is a small genus of flowering plants known for its woody vines and ornamental value, native to temperate regions of South America.
-
D.
Zuloaga
Zuloaga is a Spanish surname most notably associated with Mexican conservative politician and general Félix Zuloaga, a key figure during Mexico’s Reform War in the 19th century.
-
E.
Unax Mendía
Unax Mendía is a Spanish cinematographer known for his visually distinctive work on contemporary films.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61629ac8190a2dfa11951a877f0 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:03 p.m.