Triple
T37358113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Ladies |
E927507
|
entity |
| Predicate | hasNoIndividualNames |
—
|
GENERATED |
| Object | true |
—
|
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: hasNoIndividualNames Context triple: [Three Ladies, hasNoIndividualNames, true]
-
A.
hasNoPersonalNameIn
Indicates that an entity lacks a specific personal name within a given context, language, or naming system.
-
B.
hasNoCharactersWithNames
chosen
Indicates that the subject entity does not contain any characters for whom explicit names are specified.
-
C.
hasNoGivenName
Indicates that an entity lacks a specified or recorded given (first) name in the described context.
-
D.
hasNoNamesInscribed
Indicates that the entity lacks any names written, carved, or otherwise inscribed on it.
-
E.
hasPeopleName
Indicates that an entity is associated with a specific person's name.
- 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.