Triple
T9651720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Bonfils |
E233349
|
entity |
| Predicate | characterArcImpact |
P36788
|
FINISHED |
| Object | transforms a wayward playboy |
—
|
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: transforms a wayward playboy | Statement: [Angela Bonfils, characterArcImpact, transforms a wayward playboy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterArcImpact Context triple: [Angela Bonfils, characterArcImpact, transforms a wayward playboy]
-
A.
characterArc
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
B.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
C.
influencesCharacter
chosen
Indicates that one entity affects, shapes, or alters the traits, behavior, or development of another entity’s character.
-
D.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.