Triple
T34206291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Ángel Nápoles |
E877518
|
entity |
| Predicate | styleNicknameMeaning |
P46615
|
FINISHED |
| Object | Mantequilla means butter in 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: Mantequilla means butter in Spanish | Statement: [José Ángel Nápoles, styleNicknameMeaning, Mantequilla means butter in Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleNicknameMeaning Context triple: [José Ángel Nápoles, styleNicknameMeaning, Mantequilla means butter in Spanish]
-
A.
nickNameMeaning
chosen
Indicates that a nickname is associated with a particular meaning, interpretation, or significance.
-
B.
nicknameExplained
Indicates that an entity’s nickname is clarified, justified, or given context by another piece of information.
-
C.
isMeaningOfName
Indicates that one entity expresses or defines the meaning or interpretation of a given name.
-
D.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
E.
codeNameMeaning
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:55 a.m.