Triple
T7836705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Gropius |
E181705
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Martin Gropius |
E181705
|
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: Martin Gropius | Statement: [Martin Gropius, name, Martin Gropius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Gropius Context triple: [Martin Gropius, name, Martin Gropius]
-
A.
Martin Gropius
chosen
Martin Gropius was a prominent 19th-century German architect known for his influential historicist designs, including the renowned Martin-Gropius-Bau in Berlin.
-
B.
Walter Gropius
Walter Gropius was a pioneering German architect and founder of the Bauhaus school, renowned as a leading figure of modernist architecture.
-
C.
Ise Gropius
Ise Gropius was a German-born writer and curator closely associated with the Bauhaus movement, best known for her role in preserving and promoting the legacy of architect Walter Gropius.
-
D.
Hermann Behrens
Hermann Behrens is a notable individual who shares the surname Behrens, recognized enough to be specifically cited as a bearer of that name.
-
E.
Walter-Ulrich Behrens
Walter-Ulrich Behrens was a German statistician known for his contributions to the development of small-sample statistical methods, including work related to what is now called the Behrens–Fisher problem.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aad325c8190bced57e8380bc729 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:46 p.m.