Triple
T22837893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Díaz |
E565994
|
entity |
| Predicate | accentedForm |
P32687
|
FINISHED |
| Object | Díaz |
—
|
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: Díaz | Statement: [Díaz, accentedForm, Díaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Díaz Context triple: [Díaz, accentedForm, Díaz]
-
A.
Díaz
chosen
Díaz is a common Spanish surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
-
B.
Altamirano
Altamirano is a municipality in the Mexican state of Chiapas known for its significant Indigenous Tzeltal population and role in regional social and political movements.
-
C.
Díaz Vélez
Díaz Vélez is a Spanish-language surname most notably associated with Argentine military and political figure Eustaquio Díaz Vélez.
-
D.
Doroteo
Doroteo is the given name of Doroteo Guamuch Flores, a renowned Guatemalan long-distance runner and Boston Marathon champion.
-
E.
Federico Díaz
Federico Díaz is a contemporary Czech-Argentinian artist known for his large-scale, technology-driven installations that often incorporate robotics, data, and viewer interaction.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.