Triple
T3832025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soichiro Honda |
E91035
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 本田 宗一郎 |
E91035
|
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: 本田 宗一郎 | Statement: [Soichiro Honda, nativeName, 本田 宗一郎]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 本田 宗一郎 Context triple: [Soichiro Honda, nativeName, 本田 宗一郎]
-
A.
Soichiro Honda
chosen
Soichiro Honda was a pioneering Japanese engineer and entrepreneur who built Honda from a small workshop into one of the world’s leading automobile and motorcycle manufacturers.
-
B.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
-
C.
純一郎
純一郎 is a masculine Japanese given name typically written with kanji conveying meanings such as “pure” and “first son.”
-
D.
Honda
Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
-
E.
Honda
Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.