Triple
T31534353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadezhda von Meck |
E804563
|
entity |
| Predicate | relationshipWithTchaikovsky |
P207452
|
FINISHED |
| Object | confidante |
—
|
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: confidante | Statement: [Nadezhda von Meck, relationshipWithTchaikovsky, confidante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithTchaikovsky Context triple: [Nadezhda von Meck, relationshipWithTchaikovsky, confidante]
-
A.
startOfAssociationWithTchaikovsky
Indicates the point in time when an entity first began an association or collaborative relationship with Tchaikovsky.
-
B.
endOfAssociationWithTchaikovsky
Indicates the point or event at which an association or relationship with Tchaikovsky comes to an end.
-
C.
relativeMoodComparedToOtherTchaikovskySymphonies
Indicates how the mood or emotional character of something compares specifically to that of other Tchaikovsky symphonies.
-
D.
inTchaikovskyCatalogueSection
Indicates that something is classified within a specific section of the Tchaikovsky catalogue.
-
E.
relationshipToPolinaAlexandrovna
Indicates the specific type of personal or social relationship that one entity has with Polina Alexandrovna.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 10:02 p.m.