Triple
T32976800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne of Foix-Candale |
E843686
|
entity |
| Predicate | successorAsQueenConsortOfHungary |
P7964
|
FINISHED |
| Object | Mary of Habsburg |
—
|
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: Mary of Habsburg | Statement: [Anne of Foix-Candale, successorAsQueenConsortOfHungary, Mary of Habsburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsQueenConsortOfHungary Context triple: [Anne of Foix-Candale, successorAsQueenConsortOfHungary, Mary of Habsburg]
-
A.
successorAsHolyRomanEmpress
Indicates that one person assumed the role of Holy Roman Empress directly after another, succeeding her in that position.
-
B.
reignAsQueenConsortOfHungaryEnd
Indicates the time or event at which an individual’s tenure as queen consort of Hungary comes to an end.
-
C.
successorAsKingOfHungary
Indicates that one person became the next king of Hungary following another person in the royal succession.
-
D.
successorAsQueenConsort
chosen
Indicates that one individual became the next queen consort following another in a royal succession.
-
E.
successorAsQueenConsortOfCastile
Indicates that one individual became the next queen consort of Castile following another individual in that role.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 1, 2026, 1:22 a.m.