Triple
T17484704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amélie Nikisch |
E425748
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nikisch |
—
|
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: Nikisch | Statement: [Amélie Nikisch, familyName, Nikisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikisch Context triple: [Amélie Nikisch, familyName, Nikisch]
-
A.
Nikisch
chosen
Nikisch is a surname most notably associated with Arthur Nikisch, a renowned late 19th- and early 20th-century Hungarian conductor.
-
B.
Nikare
Nikare was a little-known pharaoh who ruled during Egypt’s Eighth Dynasty in the early First Intermediate Period.
-
C.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
D.
Nikai
Nikai is the namesake of the Nikai school, likely a person of significance such as a founder, benefactor, or notable figure associated with the institution.
-
E.
Nikolassee
Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d13e208190a187b5a08fd2b5d5 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.