Triple
T24317812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mieczysław Horszowski |
E612869
|
entity |
| Predicate | hasWorkRecordingsOn |
P155529
|
FINISHED |
| Object | Nonesuch Records |
—
|
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: Nonesuch Records | Statement: [Mieczysław Horszowski, hasWorkRecordingsOn, Nonesuch Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkRecordingsOn Context triple: [Mieczysław Horszowski, hasWorkRecordingsOn, Nonesuch Records]
-
A.
hasWorkRecordedBy
Indicates that a particular work (such as a composition or piece) has been captured or documented in an audio or video recording made by a specified recorder or performer.
-
B.
hasLiveRecordingFrom
Indicates that a live recording was made of something (e.g., a work, performance, or event) at or from a specified source, venue, or occasion.
-
C.
hasMultipleRecordings
Indicates that the same work, performance, or item exists in more than one distinct recorded version.
-
D.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
E.
hasStudioRecordings
Indicates that one entity possesses or is associated with studio-made audio recordings of another entity.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a916c8819096d018e7ffaf483b |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:47 a.m.