Triple
T5418445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna of Russia |
E121187
|
entity |
| Predicate | startTimeAsEmpressOfRussia |
P37710
|
FINISHED |
| Object | 1730 |
—
|
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: 1730 | Statement: [Anna of Russia, startTimeAsEmpressOfRussia, 1730]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsEmpressOfRussia Context triple: [Anna of Russia, startTimeAsEmpressOfRussia, 1730]
-
A.
successorAsTsaritsa
Indicates that one entity became the next Tsaritsa, directly succeeding another in that role.
-
B.
reignAsGrandPrinceOfMoscowFrom
Indicates that a person held the position of Grand Prince of Moscow starting from a specified time.
-
C.
predecessorAsTsaritsa
Indicates that one entity previously held the position of tsaritsa immediately before the other entity.
-
D.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
E.
eraAsEmpress
chosen
Indicates the time period during which a person held the role or status of empress.
- 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_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. |
Created at: March 20, 2026, 2:05 p.m.