Triple
T34027869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doloritas Preciado |
E872559
|
entity |
| Predicate | relationshipWithPedroPáramo |
P205285
|
FINISHED |
| Object | romantic relationship |
—
|
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: romantic relationship | Statement: [Doloritas Preciado, relationshipWithPedroPáramo, romantic relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithPedroPáramo Context triple: [Doloritas Preciado, relationshipWithPedroPáramo, romantic relationship]
-
A.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
-
B.
relationshipToJoséArcadioBuendía
Indicates the specific familial or social relationship that an entity has to José Arcadio Buendía.
-
C.
relationshipToCelestina
Indicates the specific type of personal, social, or familial relationship that one entity has to Celestina.
-
D.
relationshipToHéctor
Indicates a familial, social, or emotional connection that someone has with Héctor.
-
E.
relationshipToPármeno
Indicates the specific type of personal or social relationship that one entity has to Pármeno.
- 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:51 a.m.