Triple
T19956343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel at the Olympics |
E479692
|
entity |
| Predicate | notableOlympicMedalist |
P10392
|
FINISHED |
| Object | Artem Dolgopyat |
—
|
NE NERFINISHED |
How this triple was built (3 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: Artem Dolgopyat | Statement: [Israel at the Olympics, notableOlympicMedalist, Artem Dolgopyat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artem Dolgopyat Context triple: [Israel at the Olympics, notableOlympicMedalist, Artem Dolgopyat]
-
A.
Ilan Volkov
Ilan Volkov is an Israeli conductor known for his adventurous programming and advocacy of contemporary and experimental music, including his work with major orchestras in the UK and abroad.
-
B.
Daniil Granin
Daniil Granin was a prominent Soviet and Russian writer and public figure known for his novels about World War II and moral responsibility in science and society.
-
C.
Yishay Mansour
Yishay Mansour is an Israeli computer scientist known for his contributions to algorithms, machine learning, and game theory, and for serving as a prominent professor at Tel Aviv University.
-
D.
Aviv Alush
Aviv Alush is an Israeli actor and model best known internationally for his role as Jesus in the film adaptation of the Christian novel "The Shack."
-
E.
Jonathan Sela
Jonathan Sela is a cinematographer known for his dynamic, high-energy visual work on major action films and thrillers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artem Dolgopyat Target entity description: Artem Dolgopyat is an Israeli artistic gymnast and Olympic champion known for his world-class floor exercise performances.
-
A.
Ilan Volkov
Ilan Volkov is an Israeli conductor known for his adventurous programming and advocacy of contemporary and experimental music, including his work with major orchestras in the UK and abroad.
-
B.
Daniil Granin
Daniil Granin was a prominent Soviet and Russian writer and public figure known for his novels about World War II and moral responsibility in science and society.
-
C.
Yishay Mansour
Yishay Mansour is an Israeli computer scientist known for his contributions to algorithms, machine learning, and game theory, and for serving as a prominent professor at Tel Aviv University.
-
D.
Aviv Alush
Aviv Alush is an Israeli actor and model best known internationally for his role as Jesus in the film adaptation of the Christian novel "The Shack."
-
E.
Jonathan Sela
Jonathan Sela is a cinematographer known for his dynamic, high-energy visual work on major action films and thrillers.
- F. None of above. chosen
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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.