Triple
T18807450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Schwab |
E459913
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karl Schwab |
—
|
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: Karl Schwab | Statement: [Karl Schwab, name, Karl Schwab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Schwab Context triple: [Karl Schwab, name, Karl Schwab]
-
A.
Karl Schwab
chosen
Karl Schwab is a notable individual who shares the Schwab surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
George Schwab
George Schwab is a notable individual whose surname, Schwab, is recognized as being borne by him.
-
C.
Norman Schwab
Norman Schwab is an individual notable enough to be recognized as a bearer of the Schwab surname, though specific widely known public details about him are not readily available.
-
D.
Carlos Schwabe
Carlos Schwabe was a Swiss Symbolist painter and illustrator known for his mystical, allegorical works and contributions to late 19th-century book illustration.
-
E.
Cecil Schwabe
Cecil Schwabe, better known by his stage name Cecil Parker, was a prominent English character actor noted for his suave, often pompous roles in mid-20th-century films.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d8ab9c819097834eac798ce810 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.