Triple
T18576267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ales Bialiatski |
E453995
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ales |
—
|
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: Ales | Statement: [Ales Bialiatski, givenName, Ales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ales Context triple: [Ales Bialiatski, givenName, Ales]
-
A.
Ales
chosen
Ales is the given name of Ales Bialiatski, a prominent Belarusian human rights activist and Nobel Peace Prize laureate.
-
B.
Ales
Ales is the surname of American actor John Ales, known for his roles in film and television since the 1990s.
-
C.
Ales
Ales is a small town in the Sardinia region of Italy, best known as the birthplace of Marxist philosopher and political theorist Antonio Gramsci.
-
D.
Pils
Pils is a Czech-style pilsner beer crafted by Lagunitas Brewing Company, known for its crisp, hoppy character and easy drinkability.
-
E.
Bock
Bock is a German-origin surname borne by various notable individuals across fields such as science, the military, and the arts.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c9d26c8190a80dda411cd0c9ac |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.