Triple
T14829593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Henney |
E348661
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Tadashi Hamada |
E348660
|
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: Tadashi Hamada | Statement: [Daniel Henney, characterPortrayed, Tadashi Hamada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadashi Hamada Context triple: [Daniel Henney, characterPortrayed, Tadashi Hamada]
-
A.
Tadashi Hamada
chosen
Tadashi Hamada is a brilliant and compassionate robotics prodigy from Disney's "Big Hero 6," known for creating the healthcare robot Baymax and inspiring his younger brother Hiro.
-
B.
Hiro Hamada
Hiro Hamada is a young robotics prodigy and the central hero of Disney's animated film "Big Hero 6," known for forming a high-tech superhero team with his inflatable robot companion Baymax.
-
C.
Tadashi
Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
-
D.
Hoshi Tōru
Hoshi Tōru was a prominent Japanese politician of the Meiji era known for his leadership in early constitutional and parliamentary politics.
-
E.
Hiroshi
Hiroshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as art, politics, and entertainment.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0737d4c8190a49bf6b013da208c |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd1a1b48190b3b69b2841f643a3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 1:51 a.m.