Triple
T5635223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachiko Statue |
E147930
|
entity |
| Predicate | sculptor |
P184
|
FINISHED |
| Object | Teru Ando |
E828917
|
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: Teru Ando | Statement: [Hachiko Statue, sculptor, Teru Ando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teru Ando Context triple: [Hachiko Statue, sculptor, Teru Ando]
-
A.
Teru Ando
chosen
Teru Ando was a Japanese sculptor best known for creating the iconic bronze statue of the loyal dog Hachiko in Tokyo.
-
B.
Yukio Edano
Yukio Edano is a Japanese politician and former Chief Cabinet Secretary who became a prominent opposition leader as the head of the Constitutional Democratic Party of Japan.
-
C.
Seibou Kitamura
Seibou Kitamura was a Japanese sculptor best known for creating the iconic Peace Statue in Nagasaki, commemorating the victims of the atomic bombing.
-
D.
Minoru Ōta
Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
-
E.
Ryoji Noyori
Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226286208190b6ccf036cc09fe82 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2281e332c819093444685d37b9251 |
completed | April 5, 2026, 9:15 a.m. |
Created at: March 22, 2026, 3:41 p.m.