Triple
T11546760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Band Hero |
E273793
|
entity |
| Predicate | developer |
P73
|
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: [Band Hero, developer, Glu Mobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glu Mobile Context triple: [Band Hero, developer, 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.
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.
-
C.
Gameloft
Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
-
D.
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.
-
E.
Breeze Mobile
Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685de2bf88190b1f59513fd47feeb |
completed | April 20, 2026, 8 p.m. |
Created at: April 8, 2026, 9:37 p.m.