Triple
T38012050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locksley Hall Sixty Years After |
E948388
|
entity |
| Predicate | hasMainCharacterStatus |
—
|
GENERATED |
| Object | elderly 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: hasMainCharacterStatus Context triple: [Locksley Hall Sixty Years After, hasMainCharacterStatus, elderly man]
-
A.
hasPrimaryCharacter
Indicates that an entity features another entity as its main or central character.
-
B.
hasMainProtagonistTrait
chosen
Indicates that the specified trait is a defining or primary characteristic of the main protagonist.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
E.
hasMainCharactersType
Indicates that the primary characters involved in something (such as a story or work) belong to a specified type or category.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.