Triple
T4366249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katerina Mikhailovna Maslova |
E98778
|
entity |
| Predicate | characterDevelopmentFocus |
P20798
|
FINISHED |
| Object | conscience and forgiveness |
—
|
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: conscience and forgiveness | Statement: [Katerina Mikhailovna Maslova, characterDevelopmentFocus, conscience and forgiveness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDevelopmentFocus Context triple: [Katerina Mikhailovna Maslova, characterDevelopmentFocus, conscience and forgiveness]
-
A.
developmentCharacter
Indicates a relationship where one entity contributes to or influences the growth, formation, or evolution of another entity’s characteristics or qualities.
-
B.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
C.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
D.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
E.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.