Triple
T20193648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Ranger |
E493029
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Chunsoft |
—
|
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: Chunsoft | Statement: [Pokémon Ranger, developer, Chunsoft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chunsoft Context triple: [Pokémon Ranger, developer, Chunsoft]
-
A.
Spike Chunsoft
chosen
Spike Chunsoft is a Japanese video game developer and publisher known for titles such as the Danganronpa series, Zero Escape series, and various role-playing and mystery games.
-
B.
Hudson Soft
Hudson Soft was a Japanese video game company best known for creating popular franchises like Bomberman and co-developing early entries in the Mario Party series.
-
C.
Nippon Koei
Nippon Koei is a major Japanese engineering consulting firm known for its infrastructure and civil engineering projects worldwide.
-
D.
Type-Moon
Type-Moon is a Japanese game company and creative circle best known for producing the Fate franchise and other influential visual novels.
-
E.
Toie
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.