Triple
T6101248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scher |
E135999
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Scheer |
E380701
|
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: Scheer | Statement: [Scher, hasVariantSpelling, Scheer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheer Context triple: [Scher, hasVariantSpelling, Scheer]
-
A.
Scheer
chosen
Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Schroeder
Schroeder is a character from the Peanuts comic strip known for his serious devotion to playing the piano and his admiration for Beethoven.
-
D.
Spratt
Spratt is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
E.
Culbert
Culbert is a masculine given name most notably borne by Culbert Olson, the 29th governor of California.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254b963081908e8e45968a7b29aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.