Triple
T37359072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherubino |
E927530
|
entity |
| Predicate | relationshipToCountess |
—
|
GENERATED |
| Object | Countess’s page |
—
|
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: relationshipToCountess Context triple: [Cherubino, relationshipToCountess, Countess’s page]
-
A.
relationshipToCatherine
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
B.
relationshipToPrincess
Indicates the specific familial, social, or romantic connection that one entity has to a princess.
-
C.
relationshipToLady
chosen
Indicates the specific type of social, familial, or personal connection that one entity has to a lady.
-
D.
relationshipWithMiladyDeWinter
Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
-
E.
relationshipToEleanorVance
Indicates the specific nature or type of relationship an entity has with Eleanor Vance.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.