Triple
T11386345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scooby-Doo |
E269723
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Iwao Takamoto |
—
|
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: Iwao Takamoto | Statement: [Scooby-Doo, creator, Iwao Takamoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iwao Takamoto Context triple: [Scooby-Doo, creator, Iwao Takamoto]
-
A.
Iwao Takamoto
chosen
Iwao Takamoto was a Japanese-American animator, character designer, and director best known for his work at Hanna-Barbera, including creating the character Scooby-Doo.
-
B.
Iwao Matsuda
Iwao Matsuda was an Imperial Japanese Army general who led Japanese forces during World War II, notably in the Pacific campaigns.
-
C.
Shigeru Umebayashi
Shigeru Umebayashi is a Japanese composer best known internationally for his evocative film scores, particularly in collaborations with directors like Wong Kar-wai and Zhang Yimou.
-
D.
Iwao Nitta
Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
-
E.
Hideo Oguni
Hideo Oguni was a prominent Japanese screenwriter best known for his collaborations with director Akira Kurosawa on several classic films.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc378d808190b587a044ede67e1e |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:34 p.m.