Triple
T37891936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Pinzón |
E945166
|
entity |
| Predicate | hasEthnicNameOrigin |
P129408
|
FINISHED |
| Object | Spanish |
—
|
LITERAL 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: Spanish | Statement: [Roberto Pinzón, hasEthnicNameOrigin, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicNameOrigin Context triple: [Roberto Pinzón, hasEthnicNameOrigin, Spanish]
-
A.
hasEthnicOrRegionalOrigin
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
-
B.
hasEthnicNameType
Indicates that an entity’s name is classified according to a specific ethnic or cultural naming type.
-
C.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
D.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
E.
hasPossibleEthnicOriginOfSurname
chosen
Indicates that a surname is associated with, or can plausibly originate from, a particular ethnic group or ethnicity.
- F. None of above.
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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:19 p.m.