Triple
T38648458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masochism: Coldness and Cruelty and Venus in Furs |
E938778
|
entity |
| Predicate | focusesOnCharacterType |
P180826
|
FINISHED |
| Object | masochistic subject |
—
|
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: masochistic subject | Statement: [Masochism: Coldness and Cruelty and Venus in Furs, focusesOnCharacterType, masochistic subject]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnCharacterType Context triple: [Masochism: Coldness and Cruelty and Venus in Furs, focusesOnCharacterType, masochistic subject]
-
A.
followsCharacterType
Indicates that one character’s behavior, role, or traits are patterned after, derived from, or constrained by a specified character type.
-
B.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
C.
employsCharacterType
chosen
Indicates that an entity makes use of or features a particular type or category of character in its content or structure.
-
D.
basedOnCharacterBy
Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
-
E.
characterizationFocus
Indicates that the primary emphasis or concern of a characterization is directed toward a particular aspect, feature, or dimension of the subject.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:32 p.m.