Triple
T22794603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Scheuer |
E564207
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scheuer |
—
|
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: Scheuer | Statement: [Sandra Scheuer, familyName, Scheuer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheuer Context triple: [Sandra Scheuer, familyName, Scheuer]
-
A.
Scheuer
chosen
Scheuer is a German-origin surname borne by various notable individuals in politics, academia, and other fields.
-
B.
Scher
Scher is a surname of likely German or Eastern European origin borne by various individuals and families.
-
C.
Scheur
Scheur is a distributary branch of the Rhine–Meuse river system in the Netherlands that serves as an important shipping route in the Port of Rotterdam area.
-
D.
Scheinert
Scheinert is the surname of Daniel Scheinert, an American filmmaker best known as one half of the directing duo Daniels behind films like "Everything Everywhere All at Once."
-
E.
Scherer
Scherer is the surname of Anna Pavlovna Scherer, a fictional high-society hostess in Leo Tolstoy’s novel "War and Peace."
- 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_69f17cd81794819091b528600e322d7b |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.