Triple
T15973545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall and Kylie |
E387381
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Glu Mobile |
E387380
|
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: Glu Mobile | Statement: [Kendall and Kylie, publisher, Glu Mobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glu Mobile Context triple: [Kendall and Kylie, publisher, Glu Mobile]
-
A.
Glu Mobile
chosen
Glu Mobile is an American mobile game developer and publisher known for creating popular free-to-play titles, including celebrity-branded games.
-
B.
Mobage
Mobage is a Japanese mobile social gaming platform and network operated by DeNA, known for hosting a wide variety of social and free-to-play games.
-
C.
Appin Group
The Appin Group is a sequence of metamorphosed sedimentary rocks in the Scottish Highlands, notable as a key component of the Neoproterozoic stratigraphy of the Dalradian.
-
D.
Gameloft
Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
-
E.
Zynga
Zynga is a video game developer and publisher best known for its popular social and mobile games such as FarmVille and Words With Friends.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.