Triple
T1316907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forty-Two Articles |
E28123
|
entity |
| Predicate | statusAfterMaryIAccession |
P20465
|
FINISHED |
| Object | suppressed |
—
|
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: suppressed | Statement: [Forty-Two Articles, statusAfterMaryIAccession, suppressed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterMaryIAccession Context triple: [Forty-Two Articles, statusAfterMaryIAccession, suppressed]
-
A.
successorAsEmpressOfTheFrench
Indicates that one person became the next Empress of the French following another person in that imperial role.
-
B.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
-
C.
continuedUnderMonarch
chosen
Indicates that an entity, such as an office, institution, or status, persisted without interruption during the reign of a specified monarch.
-
D.
reignAsQueenOfFranceEnd
Indicates the time or event at which an individual’s tenure as Queen of France comes to an end.
-
E.
monarchMother
Indicates that one entity is the mother of another entity who holds or held a monarchical position (such as king, queen, emperor, etc.).
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.