Triple
T21599443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexei Ivanovich |
E532994
|
entity |
| Predicate | relationshipToPolinaAlexandrovna |
P144123
|
FINISHED |
| Object | devoted admirer |
—
|
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: devoted admirer | Statement: [Alexei Ivanovich, relationshipToPolinaAlexandrovna, devoted admirer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPolinaAlexandrovna Context triple: [Alexei Ivanovich, relationshipToPolinaAlexandrovna, devoted admirer]
-
A.
relationshipToPavelVlasov
Indicates the nature or type of relationship an entity has with Pavel Vlasov.
-
B.
relationshipToTatyanaLarina
Indicates the specific personal or social connection that an entity has to Tatyana Larina.
-
C.
relationshipToPierreBezukhov
Indicates the specific type of personal or social relationship an entity has to Pierre Bezukhov.
-
D.
relationshipToOnegin
Indicates the specific interpersonal or familial relationship that one entity has to the person named Onegin.
-
E.
relationshipToKittyShcherbatskaya
Indicates the nature of a person’s relationship or connection to Kitty Shcherbatskaya.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.