Triple
T20044395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Nieto Velázquez |
E497517
|
entity |
| Predicate | possibleRelationshipToDiegoVelázquez |
P138478
|
FINISHED |
| Object | relative or in-law |
—
|
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: relative or in-law | Statement: [José Nieto Velázquez, possibleRelationshipToDiegoVelázquez, relative or in-law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleRelationshipToDiegoVelázquez Context triple: [José Nieto Velázquez, possibleRelationshipToDiegoVelázquez, relative or in-law]
-
A.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
-
B.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
C.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
D.
relationshipToAntonioVillalta
Indicates the nature of the relationship or connection that an entity has to Antonio Villalta.
-
E.
relationshipToFlorentinoAriza
Indicates the nature of the relationship an entity has with Florentino Ariza.
- F. None of above. chosen
Provenance (4 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:37 p.m.