Triple
T37891937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Pinzón |
E945166
|
entity |
| Predicate | hasSurnameLanguageOrigin |
P116088
|
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, hasSurnameLanguageOrigin, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurnameLanguageOrigin Context triple: [Roberto Pinzón, hasSurnameLanguageOrigin, Spanish]
-
A.
hasSurnameEthymology
Indicates that an entity’s surname originates from, or is derived based on, a specified source, language, or etymological root.
-
B.
languageOfSurnameVariants
chosen
Indicates the language in which particular surname variants are used or originate.
-
C.
hasSurnameTradition
Indicates that there is a customary or culturally established practice regarding which surname(s) are used or passed on in a given context.
-
D.
hasBaseSurname
Indicates that an entity’s surname is derived from, or fundamentally corresponds to, a specified base or canonical surname.
-
E.
hasSurnameFromParent
Indicates that an individual’s surname is inherited from one of their parents.
- 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_6a006ef900148190ba52daf566882a03 |
completed | May 10, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_6a006c76ae748190bfe466d7d17d321e |
completed | May 10, 2026, 11:31 a.m. |
Created at: May 3, 2026, 4:19 p.m.