Triple
T18807447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Schwab |
E459912
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Harry 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: Harry Schwab | Statement: [Harry Schwab, name, Harry Schwab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Schwab Context triple: [Harry Schwab, name, Harry Schwab]
-
A.
Harry Schwab
chosen
Harry 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.
-
B.
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.
-
C.
George Schwab
George Schwab is a notable individual whose surname, Schwab, is recognized as being borne by him.
-
D.
Laurence Schwab
Laurence Schwab was an American theatrical producer and occasional film director best known for his successful Broadway musical comedies in the early 20th century.
-
E.
Aaron Schroeder
Aaron Schroeder was an American songwriter and music publisher best known for writing numerous hit songs for artists like Elvis Presley during the 1950s and 1960s.
- 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.