Triple
T6360614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mail.ru Group |
E143097
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | My.Games gaming platform |
E587894
|
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: My.Games gaming platform | Statement: [Mail.ru Group, product, My.Games gaming platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My.Games gaming platform Context triple: [Mail.ru Group, product, My.Games gaming platform]
-
A.
My.Games
chosen
My.Games is an international video game company and publisher known for developing and distributing online, mobile, and PC games across global markets.
-
B.
Playdom
Playdom was a social gaming company best known for developing popular games for platforms like Facebook before being acquired by The Walt Disney Company.
-
C.
Home Game
Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
-
D.
Playfish
Playfish was a pioneering social gaming company best known for creating popular Facebook and mobile games before being acquired by Electronic Arts.
-
E.
Square Online
Square Online is an e-commerce platform that enables businesses to easily create and manage online stores integrated with Square’s payment and point-of-sale ecosystem.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63869ef148190816b152f2724de49 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.