Triple
T20082104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Kotěra |
E500026
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kotěra |
—
|
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: Kotěra | Statement: [Jan Kotěra, familyName, Kotěra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotěra Context triple: [Jan Kotěra, familyName, Kotěra]
-
A.
Kotěra
chosen
Kotěra is a Czech surname most notably associated with Jan Kotěra, a pioneering architect of modern architecture in Central Europe.
-
B.
Kuči
Kuči is a historic Montenegrin highland tribe known for its warrior tradition, distinct clan identity, and significant role in the region’s social and political history.
-
C.
Kisaan
Kisaan is an alternative name for the Kisan language, an indigenous Munda language spoken primarily by the Kisan people in parts of eastern India.
-
D.
Kittin
Kittin is a French DJ, producer, and singer known for her influential role in the electroclash and techno scenes.
-
E.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e665588a9c8190886b693b13a215a8 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.