Triple
T23354672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Sacher |
E593010
|
entity |
| Predicate | notableStudentOrCollaborator |
P25977
|
FINISHED |
| Object | Heinz Holliger |
—
|
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: Heinz Holliger | Statement: [Paul Sacher, notableStudentOrCollaborator, Heinz Holliger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heinz Holliger Context triple: [Paul Sacher, notableStudentOrCollaborator, Heinz Holliger]
-
A.
Heinz Holliger
chosen
Heinz Holliger is a renowned Swiss oboist, composer, and conductor celebrated for his virtuosic performances and contributions to contemporary classical music.
-
B.
Hans Suter
Hans Suter is a notable individual who bears the surname Suter, recognized enough to be specifically cited among people with that name.
-
C.
Wolfgang Bühler
Wolfgang Bühler is a notable individual who shares the German surname Bühler, recognized as one of its distinguished bearers.
-
D.
Hans Baluschek
Hans Baluschek was a German painter, graphic artist, and writer known for his socially critical depictions of Berlin’s working-class life around the turn of the 20th century.
-
E.
Giselher Klebe
Giselher Klebe was a 20th-century German composer best known for his operas and orchestral works, often inspired by literary sources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a169bb88190a2ca659fce1133e5 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.