Triple
T14186988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akira |
E351602
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | アキラ |
E351602
|
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: アキラ | Statement: [Akira, hasVariantForm, アキラ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: アキラ Context triple: [Akira, hasVariantForm, アキラ]
-
A.
Akira
chosen
Akira is a common Japanese given name used for people of any gender and borne by many notable figures in fields such as science, arts, and entertainment.
-
B.
Hiro
Hiro is the adventurous young protagonist of the role-playing game Lunar: Eternal Blue, known for leaving his quiet life behind to explore ancient ruins and uncover the mysteries of the Blue Star.
-
C.
Hiro
Hiro is a common Japanese given name element often associated with meanings like “wide,” “generous,” or “prosperous,” depending on the kanji used.
-
D.
Tokusuke
Tokusuke is the given name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy in the Meiji era.
-
E.
Eegah
Eegah is a 1962 low-budget American horror film about a giant caveman terrorizing modern-day teenagers, best known for starring Richard Kiel in the title role and for its later cult status.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.