Triple
T22793272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kusch |
E564169
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Polykarp Kusch |
—
|
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: Polykarp Kusch | Statement: [Kusch, hasNotableBearer, Polykarp Kusch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polykarp Kusch Context triple: [Kusch, hasNotableBearer, Polykarp Kusch]
-
A.
Polykarp Kusch
chosen
Polykarp Kusch was a German-American physicist and Nobel laureate known for his precise measurements of the electron’s magnetic moment, which provided key tests of quantum electrodynamics.
-
B.
Karl Volkmar Stoy
Karl Volkmar Stoy was a 19th-century German educator and pedagogue known for developing and promoting Herbartian educational theory and teacher training.
-
C.
Karl Kamb
Karl Kamb was a screenwriter known for his work on mid-20th-century American films, including the adventure movie "Pitfall."
-
D.
Johannes Kerner
Johannes Kerner is a German television host and journalist best known for presenting popular talk shows and sports programs on German public and private broadcasters.
-
E.
Eduard Zach
Eduard Zach is an Austrian local politician who serves as the mayor of the municipality of Heiligenkreuz im Lafnitztal in the state of Burgenland.
- 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_69f17cd751f081909c7907c96c9906ea |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.