Triple
T4816974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Andrei Bolkonsky |
E107610
|
entity |
| Predicate | hasPersonalityArc |
P20798
|
FINISHED |
| Object | from ambition to spiritual resignation |
—
|
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: from ambition to spiritual resignation | Statement: [Prince Andrei Bolkonsky, hasPersonalityArc, from ambition to spiritual resignation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPersonalityArc Context triple: [Prince Andrei Bolkonsky, hasPersonalityArc, from ambition to spiritual resignation]
-
A.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
B.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
C.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
-
D.
hasMoralArc
Indicates that something follows a discernible trajectory of moral development, progress, or decline over time.
-
E.
hasProtagonistRelationship
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.