Triple
T10101895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schultz |
E216222
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Scholz |
E57860
|
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: Scholz | Statement: [Schultz, hasVariant, Scholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scholz Context triple: [Schultz, hasVariant, Scholz]
-
A.
Scholz
chosen
Scholz is a German surname most prominently associated with Olaf Scholz, the Chancellor of Germany.
-
B.
Eisenhauer
Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
-
C.
Schroeter
Schroeter is a German-language surname of likely occupational or locational origin, borne by various notable figures in fields such as music, science, and the arts.
-
D.
Christopher Scholz
Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
-
E.
Lammer
The Lammer is a river in the Austrian state of Salzburg, known for its clear waters and popularity for kayaking and rafting before joining the Salzach River.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd099c21c819097aac4f0f168a2da |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6d3efec8190b1432ca614aeb334 |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:02 p.m.