Triple
T21328483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Weiss |
E525829
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Siegfried Weiss |
—
|
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: Siegfried Weiss | Statement: [Siegfried Weiss, name, Siegfried Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegfried Weiss Context triple: [Siegfried Weiss, name, Siegfried Weiss]
-
A.
Siegfried Weiss
chosen
Siegfried Weiss was a German actor known for his roles in mid-20th-century German cinema and theater.
-
B.
Eduard Weiss
Eduard Weiss is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Weiss.
-
C.
Gustav Weiss
Gustav Weiss is a relatively obscure individual whose name is noted primarily as a recorded bearer of the surname Weiss.
-
D.
Guido Weiss
Guido Weiss was an influential mathematician known for his contributions to harmonic analysis and his collaborative work, including with Elias Stein.
-
E.
Gustav Weil
Gustav Weil was a 19th-century German orientalist and historian known for his pioneering Arabic studies and early German translation of "One Thousand and One Nights."
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4e88848190b6efe85a4c8cd85a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.