Triple
T29069632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vida Isabelle |
E735777
|
entity |
| Predicate | hasFatherFullName |
P16971
|
FINISHED |
| Object | Rafael Antonio Pina Nieves |
—
|
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: Rafael Antonio Pina Nieves | Statement: [Vida Isabelle, hasFatherFullName, Rafael Antonio Pina Nieves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFatherFullName Context triple: [Vida Isabelle, hasFatherFullName, Rafael Antonio Pina Nieves]
-
A.
hasOwnerFatherOf
Indicates that the owner of an entity is the father of another specified entity.
-
B.
fatherName
chosen
Indicates that one entity is the name of the father of another entity.
-
C.
hasMemberFather
Indicates that an entity is a member of a group or organization by virtue of their father’s membership or paternal relationship.
-
D.
fatherStageNameOfFather
Indicates that the subject is the father whose stage name is associated with or identified as the object.
-
E.
nameGivenByFather
Indicates that a father is the one who assigned or chose the given name for a particular person.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 10:19 a.m.