Triple
T14054293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Mechelin |
E338171
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mechelin |
E338171
|
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: Mechelin | Statement: [Leo Mechelin, familyName, Mechelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mechelin Context triple: [Leo Mechelin, familyName, Mechelin]
-
A.
Mechelin
chosen
Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
-
B.
Marlais
Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
-
C.
Doumea
Doumea is a genus of small African catfishes in the family Amphiliidae, typically found in fast-flowing freshwater streams and rivers.
-
D.
Bielle
Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
-
E.
Roure
Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.