Triple
T36620931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KV32 |
E904033
|
entity |
| Predicate | hasPrimaryOccupantTitle |
—
|
GENERATED |
| Object | Great Royal Wife |
—
|
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: hasPrimaryOccupantTitle Context triple: [KV32, hasPrimaryOccupantTitle, Great Royal Wife]
-
A.
hasOccupantTitle
chosen
Indicates that a specified occupant holds or is assigned a particular title or role within a place, position, or object.
-
B.
hasPrimaryTitle
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
-
C.
hasPrimaryOccupants
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
-
D.
hasMainTitleCharacter
Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
-
E.
hasTitleHolderEmployer
Indicates that an entity serving as a title holder is employed by or works for a particular employer.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.