Triple
T32966767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pseudolus |
E843390
|
entity |
| Predicate | hasCourtesanCharacter |
—
|
GENERATED |
| Object | Phoenicium |
—
|
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: hasCourtesanCharacter Context triple: [Pseudolus, hasCourtesanCharacter, Phoenicium]
-
A.
hasFemmeFataleCharacter
Indicates that a work includes a femme fatale character who plays a significant role in the narrative.
-
B.
hasPimpCharacter
chosen
Indicates that one entity plays the role of a pimp in relation to another entity.
-
C.
hasPatronCharacter
Indicates that one entity serves as a patron, protector, or guiding figure for another entity.
-
D.
hasYoungLoverCharacter
Indicates that an entity is involved in a romantic or intimate relationship with a significantly younger lover character.
-
E.
hasFemaleCharacter
Indicates that an entity includes or features at least one female character.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:21 a.m.