Triple
T7503747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret of Valois |
E177332
|
entity |
| Predicate | reasonForMarriageEnd |
P13503
|
FINISHED |
| Object | annulment |
—
|
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: annulment | Statement: [Margaret of Valois, reasonForMarriageEnd, annulment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForMarriageEnd Context triple: [Margaret of Valois, reasonForMarriageEnd, annulment]
-
A.
divorceReason
chosen
Indicates the reason or cause for which a marriage ended in divorce between two individuals.
-
B.
marriageEndedBy
Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
-
C.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
D.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
E.
politicalPurposeOfMarriage
Indicates that a marriage is entered into or used primarily for political objectives, such as gaining power, forming alliances, or influencing governance.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.