Triple
T15254453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marten Wassmann |
E364608
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marten Wassmann |
—
|
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: Marten Wassmann | Statement: [Marten Wassmann, name, Marten Wassmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marten Wassmann Context triple: [Marten Wassmann, name, Marten Wassmann]
-
A.
Marten Wassmann
chosen
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
B.
Robert Hartmann
Robert Hartmann is a technology entrepreneur best known as a founder of the semiconductor company Altera.
-
C.
Robert Ochsenfeld
Robert Ochsenfeld was a German physicist best known for co-discovering the Meissner effect, a fundamental phenomenon in superconductivity.
-
D.
Martin Weil
Martin Weil is a journalist and writer best known for his long career as a reporter and editor at The Washington Post.
-
E.
Walter Reimann
Walter Reimann was a German art director and painter best known as a leading figure of German Expressionist cinema, particularly for his influential visual design work on early silent films.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
Created at: April 10, 2026, 3:13 a.m.