Triple
T5418443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna of Russia |
E121187
|
entity |
| Predicate | startTimeAsDuchessOfCourland |
P63542
|
FINISHED |
| Object | 1710 |
—
|
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: 1710 | Statement: [Anna of Russia, startTimeAsDuchessOfCourland, 1710]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsDuchessOfCourland Context triple: [Anna of Russia, startTimeAsDuchessOfCourland, 1710]
-
A.
startDateAsGrandDuchy
Indicates the date on which an entity began its existence or status as a grand duchy.
-
B.
reignAsCountessConsortStart
Indicates the date or time when an individual began serving as a countess consort.
-
C.
reignAsGrandDuchessConsortFrom
Indicates the time period during which a person held the role of grand duchess consort.
-
D.
reignAsDukeOfNassauStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Nassau.
-
E.
reignAsGrandDukeOfTuscanyStart
Indicates the time at which an individual begins their tenure as Grand Duke of Tuscany.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e7ae388190b26d16d42e717023 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:05 p.m.