Triple
T33458820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seduction by Mrs. Robinson |
E856850
|
entity |
| Predicate | associatedCharacterAgeDifference |
—
|
GENERATED |
| Object | older woman and younger man |
—
|
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: associatedCharacterAgeDifference Context triple: [Seduction by Mrs. Robinson, associatedCharacterAgeDifference, older woman and younger man]
-
A.
protagonistAgeDifferenceTheme
chosen
Indicates that the work thematically explores the significance or impact of age differences involving the protagonist.
-
B.
portrayedByCharacterAgeApprox
Indicates that an entity is portrayed by a character whose age is approximately a specified value or age range.
-
C.
relativeAgeInference
Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
-
D.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
E.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:37 a.m.