Triple
T15959620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Peter Benton |
E387022
|
entity |
| Predicate | hasCharacterArcTheme |
P39449
|
FINISHED |
| Object | personal growth |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: personal growth | Statement: [Dr. Peter Benton, hasCharacterArcTheme, personal growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterArcTheme Context triple: [Dr. Peter Benton, hasCharacterArcTheme, personal growth]
-
A.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
B.
characterArc
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
C.
hasMainThemeCharacter
Indicates that a work (such as a story, film, or game) features a specific character as its central or primary thematic focus.
-
D.
characterArcOutcome
Indicates the resulting change, resolution, or final state of a character’s personal journey or development over the course of a narrative.
-
E.
characterTheme
chosen
Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
- F. None of above.
Provenance (3 batches)
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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.