Triple
T30072561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahler 10 |
E764224
|
entity |
| Predicate | firstCompletePerformanceOfCookeVersionConductor |
P142001
|
FINISHED |
| Object | Berthold Goldschmidt |
—
|
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: Berthold Goldschmidt | Statement: [Mahler 10, firstCompletePerformanceOfCookeVersionConductor, Berthold Goldschmidt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompletePerformanceOfCookeVersionConductor Context triple: [Mahler 10, firstCompletePerformanceOfCookeVersionConductor, Berthold Goldschmidt]
-
A.
firstCompletePerformanceConductor
chosen
Indicates the conductor who led the first complete performance of a given work.
-
B.
firstUSPerformanceConductor
Indicates the conductor who led the work’s first performance in the United States.
-
C.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
D.
firstCompleteStudioRecordingConductor
Indicates the conductor who led the first complete studio recording of a given work.
-
E.
firstPerformanceAsPartOfSymphony
Indicates that a performance represents the first time a particular work was presented as part of a specified symphony.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01839b071481909f9cc79a6a09387d |
completed | May 11, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_6a017edbed688190baa61cbae5110c8e |
completed | May 11, 2026, 7:01 a.m. |
Created at: April 29, 2026, 7:01 p.m.