Triple
T14904535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Désiré Keteleer |
E360093
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Keteleer |
E904053
|
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: Keteleer | Statement: [Désiré Keteleer, familyName, Keteleer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keteleer Context triple: [Désiré Keteleer, familyName, Keteleer]
-
A.
Keteleer
chosen
Keteleer is a Belgian surname most notably associated with the 19th-century astronomer Jean Théodore Keteleer.
-
B.
Keteleeria
Keteleeria is a small genus of evergreen coniferous trees native to East and Southeast Asia, known for their tall stature and resemblance to firs and spruces.
-
C.
Myekeleni
Myekeleni is a popular album by South African pop icon Brenda Fassie, showcasing her energetic vocal style and influence on Afropop music.
-
D.
Kareedouw
Kareedouw is a small town in South Africa’s Eastern Cape, situated near the Tsitsikamma Mountains and serving as a rural service and farming community.
-
E.
Kesbewa
Kesbewa is a suburban town in Sri Lanka’s Western Province, situated within the greater Colombo metropolitan area.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b4e4f88190af7e859d93dbbd28 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:12 a.m.