Triple
T34437031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lone Bean |
E883987
|
entity |
| Predicate | featuresProtagonistAgeGroup |
—
|
GENERATED |
| Object | middle grade |
—
|
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: featuresProtagonistAgeGroup Context triple: [Lone Bean, featuresProtagonistAgeGroup, middle grade]
-
A.
hasProtagonistAgeRange
chosen
Indicates that a work’s main character falls within a specified age range.
-
B.
protagonistAge
Indicates the age of the main character or central figure in a narrative or scenario.
-
C.
hasAgeingProtagonist
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
D.
hasChildProtagonist
Indicates that the work features a child as its main or central character.
-
E.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job role.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2 a.m.