Triple
T1037571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame de Montespan |
E22398
|
entity |
| Predicate | causeOfLossOfFavor |
P694
|
FINISHED |
| Object | Suspicions of involvement in black masses and poisonings |
—
|
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: Suspicions of involvement in black masses and poisonings | Statement: [Madame de Montespan, causeOfLossOfFavor, Suspicions of involvement in black masses and poisonings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfLossOfFavor Context triple: [Madame de Montespan, causeOfLossOfFavor, Suspicions of involvement in black masses and poisonings]
-
A.
causeOfReputation
Indicates that one entity is the reason or source for another entity’s reputation.
-
B.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
causeOfExile
Indicates the reason or circumstance that led to an entity’s exile.
-
D.
debatedAsCauseOf
Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
-
E.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.