Triple
T21275053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Marie Louise d'Orléans, Duchess of Montpensier |
E524366
|
entity |
| Predicate | reignAsDuchessFrom |
P143465
|
FINISHED |
| Object | 1627 |
—
|
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: 1627 | Statement: [Anne Marie Louise d'Orléans, Duchess of Montpensier, reignAsDuchessFrom, 1627]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsDuchessFrom Context triple: [Anne Marie Louise d'Orléans, Duchess of Montpensier, reignAsDuchessFrom, 1627]
-
A.
reignAsGrandDuchessConsortFrom
Indicates the time period during which a person held the role of grand duchess consort.
-
B.
reignAsGrandDuchessConsortTo
Indicates that one entity holds the position of grand duchess consort in relation to another entity, who is the reigning grand duke.
-
C.
reignAsDukeFrom
Indicates that an entity holds and exercises the title and authority of duke over a domain starting from a specified time.
-
D.
reignAsQueenConsortFrom
Indicates the time period during which a person held the role of queen consort, starting from a specified date or event.
-
E.
successorAsDuchessOfBrittany
Indicates that one entity became the next Duchess of Brittany following another entity in that title or position.
- F. None of above. chosen
Provenance (4 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4:01 p.m.