Triple
T10279264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan José |
E241050
|
entity |
| Predicate | hasGivenNamePartMeaning |
P24069
|
FINISHED |
| Object | Juan is the Spanish form of John |
—
|
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: Juan is the Spanish form of John | Statement: [Juan José, hasGivenNamePartMeaning, Juan is the Spanish form of John]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNamePartMeaning Context triple: [Juan José, hasGivenNamePartMeaning, Juan is the Spanish form of John]
-
A.
hasGivenNameMeaning
chosen
Indicates that a given name carries a particular meaning or semantic interpretation.
-
B.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
C.
hasAncestralFamilyNameMeaning
Indicates that an entity’s ancestral family name carries a specific meaning or significance.
-
D.
hasEnglishNameMeaning
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
E.
hasEthnonymMeaning
Indicates that one entity is the meaning or semantic interpretation of an ethnonym (a name for an ethnic group) associated with another entity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:38 a.m.