Triple
T22981262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O. E. Hasse |
E571470
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | O. E. Hasse |
—
|
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: O. E. Hasse | Statement: [O. E. Hasse, name, O. E. Hasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O. E. Hasse Context triple: [O. E. Hasse, name, O. E. Hasse]
-
A.
O. E. Hasse
chosen
O. E. Hasse was a German actor known for his prominent roles in mid-20th-century European and international cinema.
-
B.
Helmut Hasse
Helmut Hasse was a German mathematician renowned for his contributions to algebraic number theory and local class field theory, including the Hasse principle and Hasse–Minkowski theorem.
-
C.
Wilhelm Hasse
Wilhelm Hasse was a German general in the Wehrmacht during World War II who held several high-level command positions on the Eastern Front.
-
D.
Wilhelm Hasse
Wilhelm Hasse was a German-born brewer and entrepreneur best known for founding the Mexican brewery that produces Dos Equis beer.
-
E.
Carl Ludwig Siegel
Carl Ludwig Siegel was a German mathematician renowned for his foundational contributions to number theory, celestial mechanics, and the theory of quadratic forms.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829589548190863619aebcae026c |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.