Triple
T10586322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Schrader |
E249863
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schrader |
E563172
|
NE FINISHED |
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: Schrader | Statement: [Leonard Schrader, familyName, Schrader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schrader Context triple: [Leonard Schrader, familyName, Schrader]
-
A.
Schrader
chosen
Schrader is a German-origin surname borne by various notable individuals in fields such as film, science, and sports.
-
B.
Schwalbe
Schwalbe was the German nickname for the Messerschmitt Me 262, the pioneering World War II jet fighter aircraft.
-
C.
Dunlop
Dunlop is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
-
D.
Dunlop
Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
-
E.
Schaffner
Schaffner is a surname most notably associated with Franklin J. Schaffner, the Academy Award–winning American film director of works such as "Patton" and "Planet of the Apes."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527698be48190a2f5e573d7cc0661 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.