Triple
T37344401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Petrovna, Grand Duchess of Russia |
E927131
|
entity |
| Predicate | predecessorInDynasticLine |
P196481
|
FINISHED |
| Object | Peter the Great |
—
|
NE NERFINISHED |
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: Peter the Great | Statement: [Anna Petrovna, Grand Duchess of Russia, predecessorInDynasticLine, Peter the Great]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorInDynasticLine Context triple: [Anna Petrovna, Grand Duchess of Russia, predecessorInDynasticLine, Peter the Great]
-
A.
predecessorAsSupremeRuler
Indicates that one entity previously held the position of supreme ruler immediately before another entity.
-
B.
predecessorAsHeir
Indicates that one entity previously held the status of heir before being succeeded by another in that role.
-
C.
predecessorAsKing
Indicates that one entity previously held the position of king immediately before the other entity.
-
D.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
E.
predecessorAsCoRuler
Indicates that one entity previously shared ruling authority with another entity before being succeeded in that co-ruler 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe38be079c8190a240191ac0e73e3a |
completed | May 8, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fe350344508190930de2218156ca02 |
completed | May 8, 2026, 7:09 p.m. |
| PDg | Predicate description generation | batch_69fe38bc3e9c8190838430b22b82503f |
completed | May 8, 2026, 7:25 p.m. |
Created at: May 3, 2026, 4:16 p.m.