Triple
T5934474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivendi |
E132009
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Gameloft |
E556375
|
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: Gameloft | Statement: [Vivendi, subsidiary, Gameloft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gameloft Context triple: [Vivendi, subsidiary, Gameloft]
-
A.
Gameloft
chosen
Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
-
B.
Vivendi Games
Vivendi Games was a French video game publisher and holding company that owned studios like Blizzard Entertainment before merging with Activision to form Activision Blizzard.
-
C.
Rovio Entertainment
Rovio Entertainment is a Finnish video game developer and entertainment company best known for creating the Angry Birds franchise.
-
D.
Torch Games
Torch Games is a built-in casual gaming platform within the Torch web browser that lets users play games directly from the browser interface.
-
E.
Portkey Games
Portkey Games is a video game label focused on creating interactive experiences set in the Wizarding World franchise, including titles like Hogwarts Legacy.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038a0c4e481908170d615330edb1a |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3b68a1c81908a219ffee8300e02 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.