Triple
T35245576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Passion selon Sade |
E1017648
|
entity |
| Predicate | hasThematicInspiration |
P61130
|
FINISHED |
| Object | Marquis de Sade |
—
|
NE NERFINISHED |
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: Marquis de Sade | Statement: [La Passion selon Sade, hasThematicInspiration, Marquis de Sade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicInspiration Context triple: [La Passion selon Sade, hasThematicInspiration, Marquis de Sade]
-
A.
hasThematicOrigin
Indicates that something originates from, or is thematically derived from, a particular source, subject, or theme.
-
B.
influencesThemeOf
Indicates that one entity affects, shapes, or contributes to the thematic content or underlying message of another entity.
-
C.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
D.
hasInspired
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
-
E.
hasThematicSimilarityTo
Indicates that two entities share related themes, topics, or conceptual content to a notable degree.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.