Triple
T22939744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raúl Zurita |
E569687
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zurita |
—
|
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: Zurita | Statement: [Raúl Zurita, notableWork, Zurita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zurita Context triple: [Raúl Zurita, notableWork, Zurita]
-
A.
Zurita
chosen
Zurita is a Spanish-language surname most notably associated with Chilean poet Raúl Zurita, a leading figure in contemporary Latin American literature.
-
B.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
C.
Valladares
Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
-
D.
Madoz
Madoz is a Spanish surname most notably associated with Pascual Madoz, a 19th-century politician, economist, and author of an influential geographical-statistical dictionary of Spain.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.