Triple
T24170992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emil von Sauer |
E599129
|
entity |
| Predicate | madeRecordingOf |
P47967
|
FINISHED |
| Object | works by Frédéric Chopin |
—
|
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: works by Frédéric Chopin | Statement: [Emil von Sauer, madeRecordingOf, works by Frédéric Chopin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeRecordingOf Context triple: [Emil von Sauer, madeRecordingOf, works by Frédéric Chopin]
-
A.
recordingOf
chosen
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
B.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
C.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
D.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
E.
producedRecording
Indicates that one entity served as the producer responsible for creating or overseeing the making of a particular recording.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.