Triple
T35791522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Ordinary Man |
E1034703
|
entity |
| Predicate | hasMaidCharacter |
—
|
GENERATED |
| Object | Tanja |
—
|
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: hasMaidCharacter Context triple: [An Ordinary Man, hasMaidCharacter, Tanja]
-
A.
hasNannyCharacter
Indicates that one entity serves as a nanny or caregiver character for another entity.
-
B.
hasServant
chosen
Indicates that one entity has another entity serving it in a subordinate or attendant role.
-
C.
hasMummy
Indicates that an entity possesses or is associated with a mummy (preserved dead body).
-
D.
hasDomineeringMotherCharacter
Indicates that an entity is associated with a mother figure who exerts controlling, overbearing, or excessively authoritative influence over them.
-
E.
hasMermaidCharacter
Indicates that an entity includes, features, or is associated with a character who is a mermaid.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.