Triple
T35332702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame de Merret |
E1020367
|
entity |
| Predicate | relationshipTypeWithSpanishOfficer |
—
|
GENERATED |
| Object | adulterous love affair |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithSpanishOfficer Context triple: [Madame de Merret, relationshipTypeWithSpanishOfficer, adulterous love affair]
-
A.
relationshipToAuthorities
Indicates the nature or type of connection, role, or standing that an entity has in relation to governing or official authorities.
-
B.
relationshipTypeWithBlancaTrueba
Indicates that the subject has a specific type of relationship with Blanca Trueba.
-
C.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
D.
governingRelation
Indicates a relationship in which one entity exercises authority, control, or regulatory power over another.
-
E.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
- F. None of above.
Provenance (1 batch)
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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.