Triple
T4997634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyacheslav Molotov |
E112286
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Molotov |
E112286
|
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: Molotov | Statement: [Vyacheslav Molotov, familyName, Molotov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molotov Context triple: [Vyacheslav Molotov, familyName, Molotov]
-
A.
Molotov
chosen
Molotov is a Russian surname most famously associated with Soviet politician Vyacheslav Molotov, whose name became linked to the improvised incendiary weapon known as the Molotov cocktail.
-
B.
Molotov Girl
Molotov Girl is a rebellious, game-savvy character in the film "Free Guy," known for helping the protagonist uncover the truth about his virtual world.
-
C.
Raskob
Raskob is a surname most notably associated with John J. Raskob, the American businessman and key figure behind the development of the Empire State Building.
-
D.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
E.
Malinovsky
Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72ba2e588190bfd76beda0c4105c |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92557c508190a8c27b974906999f |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:34 p.m.