Triple
T8878009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Stuart, Lord Darnley |
E211336
|
entity |
| Predicate | reignAsKingConsortEnd |
P85483
|
FINISHED |
| Object | 1567-02-10 |
—
|
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: 1567-02-10 | Statement: [Henry Stuart, Lord Darnley, reignAsKingConsortEnd, 1567-02-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsKingConsortEnd Context triple: [Henry Stuart, Lord Darnley, reignAsKingConsortEnd, 1567-02-10]
-
A.
reignAsPrincessConsortEnd
Indicates the time or event at which an individual’s tenure as princess consort comes to an end.
-
B.
reignAsCountessConsortEnd
Indicates the date or point in time when an individual’s tenure as countess consort comes to an end.
-
C.
reignAsQueenConsortOfEnglandEnd
Indicates the time or event at which an individual’s tenure as Queen Consort of England comes to an end.
-
D.
reignAsQueenConsortOfFranceEnd
Indicates the time or event at which an individual’s tenure as queen consort of France comes to an end.
-
E.
reignAsQueenConsortFrom
Indicates the time period during which a person held the role of queen consort, starting from a specified date or event.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61496870819097c55c73aca62aac |
completed | April 1, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:52 p.m.