Triple
T28298181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Elvira |
E713627
|
entity |
| Predicate | relationshipToDonGiovanni |
P201389
|
FINISHED |
| Object | former lover |
—
|
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: former lover | Statement: [Donna Elvira, relationshipToDonGiovanni, former lover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDonGiovanni Context triple: [Donna Elvira, relationshipToDonGiovanni, former lover]
-
A.
relationshipToDonJohn
Indicates a familial, social, or emotional connection that one entity has specifically toward Don John.
-
B.
relationshipToVolpone
Indicates the type of personal or social connection an entity has to Volpone (e.g., familial, social, or relational role).
-
C.
relationshipToDante
Indicates the specific familial, social, or other relational connection that one entity has to Dante.
-
D.
relationshipToFlorentinoAriza
Indicates the nature of the relationship an entity has with Florentino Ariza.
-
E.
relationshipToCandide
Indicates the specific type of relationship or connection an entity has to the entity named Candide.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
| PDg | Predicate description generation | batch_69fff09ce63881908e7f91a3d35d969f |
completed | May 10, 2026, 2:42 a.m. |
Created at: April 27, 2026, 11:33 p.m.