Triple
T25471714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamarinskaya |
E638320
|
entity |
| Predicate | hasInfluentialCommentaryBy |
P124123
|
FINISHED |
| Object | Pyotr Ilyich Tchaikovsky |
—
|
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: Pyotr Ilyich Tchaikovsky | Statement: [Kamarinskaya, hasInfluentialCommentaryBy, Pyotr Ilyich Tchaikovsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluentialCommentaryBy Context triple: [Kamarinskaya, hasInfluentialCommentaryBy, Pyotr Ilyich Tchaikovsky]
-
A.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
B.
hasCommentaryIn
Indicates that an entity is discussed, analyzed, or annotated within a specific commentary work or source.
-
C.
hasInfluentialAuthor
chosen
Indicates that an entity has an author whose work has had significant impact or influence in a relevant domain.
-
D.
metaCommentaryOn
Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
-
E.
isSubCommentaryOn
Indicates that one commentary functions as a subordinate or dependent commentary on another commentary, elaborating or commenting on it rather than standing alone.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 21, 2026, 2:23 p.m.