Triple
T23939637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ortiz |
E602744
|
entity |
| Predicate | formsPartOfFullNameOf |
P5298
|
FINISHED |
| Object | Leonor de Borbón y Ortiz |
—
|
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: Leonor de Borbón y Ortiz | Statement: [Ortiz, formsPartOfFullNameOf, Leonor de Borbón y Ortiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfFullNameOf Context triple: [Ortiz, formsPartOfFullNameOf, Leonor de Borbón y Ortiz]
-
A.
partOfName
chosen
Indicates that one string is a component or substring that forms part of another entity’s name.
-
B.
familyNamePart
Indicates that one string is a component or segment of a person's full family name.
-
C.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
D.
usedInFullNameOf
Indicates that one entity (such as a word, name part, or title) is used as a component within the complete formal name of another entity.
-
E.
FIELDSFullName
Indicates that one entity’s full name is recorded as a field or attribute 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa40398819095e24521f3bf8622 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:08 p.m.