Triple
T11316675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the XXII Olympiad |
E267985
|
entity |
| Predicate | torchLighter |
P12120
|
FINISHED |
| Object | Sergey Belov |
E275081
|
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: Sergey Belov | Statement: [Games of the XXII Olympiad, torchLighter, Sergey Belov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergey Belov Context triple: [Games of the XXII Olympiad, torchLighter, Sergey Belov]
-
A.
Sergei Belov
chosen
Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
-
B.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
C.
Sergey Astakhov
Sergey Astakhov is a Russian cinematographer known for his work on films such as "Metro."
-
D.
Aleksandr Golikov
Aleksandr Golikov is a former Soviet ice hockey player best known for his career in the Soviet league and appearances with the USSR national team.
-
E.
Sergei Bespalov
Sergei Bespalov is a film producer known for his work on action and genre movies, including the Robert Rodriguez–directed sequel "Machete Kills."
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c405ecc81909722377a22db84a5 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 8, 2026, 9:32 p.m.