Triple
T3597964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario Galaxy |
E76185
|
entity |
| Predicate | programmer |
P23571
|
FINISHED |
| Object |
Taku Matoba
Taku Matoba is a video game programmer known for his work on Nintendo's acclaimed title Super Mario Galaxy.
|
E373479
|
NE FINISHED |
How this triple was built (4 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: Taku Matoba | Statement: [Super Mario Galaxy, programmer, Taku Matoba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taku Matoba Context triple: [Super Mario Galaxy, programmer, Taku Matoba]
-
A.
Masatake
Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Munetaka
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
-
D.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
E.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Taku Matoba Triple: [Super Mario Galaxy, programmer, Taku Matoba]
Generated description
Taku Matoba is a video game programmer known for his work on Nintendo's acclaimed title Super Mario Galaxy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taku Matoba Target entity description: Taku Matoba is a video game programmer known for his work on Nintendo's acclaimed title Super Mario Galaxy.
-
A.
Masatake
Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Munetaka
Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
-
D.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
E.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
- F. None of above. chosen
Provenance (5 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19c71608190a87c98214321214c |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43307cb548190824bb6704e339bff |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b436ac70a481909a623841b836e1a7 |
completed | March 13, 2026, 4:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43731d4708190abd41b28889c4c88 |
completed | March 13, 2026, 4:11 p.m. |
Created at: March 8, 2026, 3:22 p.m.