Triple
T21824625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Bleek |
E538817
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bleek |
—
|
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: Bleek | Statement: [Wilhelm Bleek, familyName, Bleek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleek Context triple: [Wilhelm Bleek, familyName, Bleek]
-
A.
Bleek
chosen
Bleek is a surname most notably associated with Wilhelm Bleek, a 19th-century linguist known for his pioneering work on African languages.
-
B.
Bleiken
Bleiken is a small village in Norway located near the village of Brandbu in the Hadeland region.
-
C.
Bleckede
Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
-
D.
Bleik
Bleik is a small coastal village on the island of Andøya in northern Norway, known for its long sandy beach and proximity to rich seabird colonies.
-
E.
Bli Bli
Bli Bli is a rural-residential locality on Queensland’s Sunshine Coast in Australia, known for its sugarcane fields, wetlands, and historic Sunshine Castle attraction.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091307d408190a92b65c3f39682a8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.