Triple
T8412486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonic the Hedgehog |
E198657
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Sega |
E200316
|
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: Sega | Statement: [Sonic the Hedgehog, publisher, Sega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sega Context triple: [Sonic the Hedgehog, publisher, Sega]
-
A.
Sega
chosen
Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
-
B.
SEGA Republic
SEGA Republic was an indoor theme park and entertainment center in Dubai themed around Sega video game franchises, featuring arcade games and amusement rides.
-
C.
Konami
Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
-
D.
Atari Games
Atari Games was an American video game developer and arcade game manufacturer best known for creating influential coin-operated titles during the 1980s and early 1990s.
-
E.
Sony
Sony is a Japanese multinational conglomerate best known for its consumer electronics, gaming (PlayStation), entertainment, and imaging products.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.