Triple
T36113649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 International Tchaikovsky Competition |
E1044563
|
entity |
| Predicate | pianoFirstPrizeWinner |
P11366
|
FINISHED |
| Object | Boris Berezovsky |
—
|
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: Boris Berezovsky | Statement: [1990 International Tchaikovsky Competition, pianoFirstPrizeWinner, Boris Berezovsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pianoFirstPrizeWinner Context triple: [1990 International Tchaikovsky Competition, pianoFirstPrizeWinner, Boris Berezovsky]
-
A.
firstPerformerPiano
Indicates that the referenced entity is the first (primary or earliest) performer on the piano in a given performance or musical context.
-
B.
hasPianist
Indicates that an entity is associated with or features a pianist, typically specifying who performs the piano part in a work, event, or group.
-
C.
firstWinner
chosen
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
D.
beganPlayingPianoAtAge
Indicates the age at which an individual first started playing the piano.
-
E.
notableFirstWinner
Indicates that the subject is the first and notably recognized winner of the object (such as an award, competition, or title).
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.