Triple
T9469106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Friedrich Overbeck |
E228346
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Lukasbund |
E228344
|
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: Lukasbund | Statement: [Johann Friedrich Overbeck, memberOf, Lukasbund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukasbund Context triple: [Johann Friedrich Overbeck, memberOf, Lukasbund]
-
A.
Lukasbund
chosen
Lukasbund was an early 19th-century German artists’ association that formed part of the Nazarene movement’s effort to revive spiritual and medieval ideals in art.
-
B.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
-
C.
Kobeliaky
Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fe0c26c8190b17c4dd9d1d8410c |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122c45ae88190a43d70300bed98da |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.