Triple
T13992783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molotov Girl |
E336621
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | MolotovGirl |
E336621
|
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: MolotovGirl | Statement: [Molotov Girl, hasAlias, MolotovGirl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MolotovGirl Context triple: [Molotov Girl, hasAlias, MolotovGirl]
-
A.
Molotov Girl
chosen
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.
-
B.
Molotovsk
Molotovsk was the former name of the Russian port city now known as Severodvinsk, a major center for shipbuilding and naval industry on the White Sea.
-
C.
Molotov
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.
-
D.
Molotov.tv
Molotov.tv is a French streaming platform that offers live and on-demand television channels and programs over the internet.
-
E.
Mila
Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac98ca448190b585ef69a4e4bfca |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.