Triple
T16626068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoni Rudolf Bazyli Colonna-Walewski |
E403947
|
entity |
| Predicate | associationReason |
P30267
|
FINISHED |
| Object | son of Napoleon’s mistress Maria Walewska |
—
|
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: son of Napoleon’s mistress Maria Walewska | Statement: [Antoni Rudolf Bazyli Colonna-Walewski, associationReason, son of Napoleon’s mistress Maria Walewska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associationReason Context triple: [Antoni Rudolf Bazyli Colonna-Walewski, associationReason, son of Napoleon’s mistress Maria Walewska]
-
A.
reasonForAssociation
chosen
Indicates that one entity is associated with another due to a specific cause, purpose, or motivating factor underlying their relationship.
-
B.
associationWithHumans
Indicates a general relationship, connection, or involvement between an entity and one or more humans.
-
C.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
D.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375530ed081908337dc5c6360d733 |
completed | April 18, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.