Triple
T18618468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aron Atabek |
E455089
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aron Atabek |
—
|
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: Aron Atabek | Statement: [Aron Atabek, name, Aron Atabek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aron Atabek Context triple: [Aron Atabek, name, Aron Atabek]
-
A.
Aron Atabek
chosen
Aron Atabek was a Kazakh poet, dissident, and human rights activist known for his outspoken criticism of the government and long-term imprisonment.
-
B.
Aron Ain
Aron Ain is an American business executive best known for leading workforce management company Kronos Incorporated and later serving as CEO and chairman of UKG (Ultimate Kronos Group) after its merger.
-
C.
Aron Julius
Aron Julius is an actor known for his role in the German television series "Cucumber."
-
D.
Ari Tasarov
Ari Tasarov is a fictional character portrayed as a Russian antagonist in the television series "Nikita."
-
E.
Nathan Zarkhi
Nathan Zarkhi was a screenwriter known for his work on early Soviet cinema, including contributing to the script of the 1926 film "Mother."
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d07dc288190bb3b8b5ab06518da |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:46 a.m.