Triple
T22798334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Kleiber |
E564309
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kleiber |
—
|
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: Kleiber | Statement: [Carlos Kleiber, familyName, Kleiber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleiber Context triple: [Carlos Kleiber, familyName, Kleiber]
-
A.
Kleiber
chosen
Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
-
B.
Bergmann
Bergmann is a German-language surname borne by numerous notable individuals across fields such as science, philosophy, and the arts.
-
C.
Weisskopf
Weisskopf is a German-language surname borne by various notable individuals in fields such as physics, music, and the arts.
-
D.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
E.
Schivelbein
Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:31 p.m.