Triple
T18794347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tencent Holdings Limited |
E459593
|
entity |
| Predicate | majorShareholderOf |
P14887
|
FINISHED |
| Object | Supercell |
—
|
NE NERFINISHED |
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: Supercell | Statement: [Tencent Holdings Limited, majorShareholderOf, Supercell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supercell Context triple: [Tencent Holdings Limited, majorShareholderOf, Supercell]
-
A.
Supercell
chosen
Supercell is a Finnish mobile game development company best known for hit titles like Clash of Clans, Clash Royale, and Brawl Stars.
-
B.
Swedish House Mafia
Swedish House Mafia is a Swedish electronic dance music supergroup known for its influential progressive house anthems and high-energy live performances.
-
C.
Galantis
Galantis is a Swedish electronic dance music duo known for their melodic, festival-ready house tracks and global hits like "Runaway (U & I)."
-
D.
Danjaq
Danjaq is the film production and rights-holding company best known for owning and controlling the James Bond movie franchise.
-
E.
Miike Snow
Miike Snow is a Swedish indie pop band known for its catchy, genre-blending electronic sound and hits like "Animal" and "Genghis Khan."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.