Triple
T20191840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL Laboratory |
E492994
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Game Freak |
—
|
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: Game Freak | Statement: [HAL Laboratory, collaboratesWith, Game Freak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Game Freak Context triple: [HAL Laboratory, collaboratesWith, Game Freak]
-
A.
Game Freak
chosen
Game Freak is a Japanese video game developer best known as the primary creator of the Pokémon franchise.
-
B.
Ash Ketchum
Ash Ketchum is the long-running protagonist of the Pokémon animated series, a determined young Trainer from Pallet Town who travels the world to become a Pokémon Master.
-
C.
Professor Oak
Professor Oak is a renowned Pokémon researcher and mentor who gives new trainers their first Pokémon and Pokédex in the original games.
-
D.
Poke
Poke is a hip-hop music producer best known as one half of the production duo Trackmasters, who crafted numerous hits for major rap and R&B artists in the 1990s and 2000s.
-
E.
Pokémon
Pokémon is a globally popular multimedia franchise centered on collecting, training, and battling fictional creatures across video games, trading cards, animation, and merchandise.
- 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_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.