Triple
T9690132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akio Morita |
E234515
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Akio |
E234514
|
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: Akio | Statement: [Akio Morita, givenName, Akio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akio Context triple: [Akio Morita, givenName, Akio]
-
A.
Akio
chosen
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
B.
Kunio
Kunio is a Japanese masculine given name borne by various notable figures in politics, academia, and the arts.
-
C.
Kiichi
Kiichi is a Japanese given name commonly used for males.
-
D.
Kazuhiko
Kazuhiko is a Japanese given name commonly used for males.
-
E.
Takehiro
Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d02b20881909d7c0d5d6aaafcb0 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19118874c81909a97f874b1dc2db8 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.