Triple
T10567115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentarō |
E249378
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Kentaro |
E249378
|
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: Kentaro | Statement: [Kentarō, hasVariantSpelling, Kentaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kentaro Context triple: [Kentarō, hasVariantSpelling, Kentaro]
-
A.
Kentarō
chosen
Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
-
B.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
C.
Kentaro Randa
Kentaro Randa is a character in the MonsterVerse franchise who works as a specialist for the secretive organization Monarch, which studies and monitors giant monsters known as Titans.
-
D.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
E.
Ryōta Watari
Ryōta Watari is a cheerful, popular high school soccer player and loyal friend in the anime and manga series "Your Lie in April."
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343cd76448190b0583cc15005ac9d |
completed | April 18, 2026, 8:41 a.m. |
Created at: April 6, 2026, 12:36 p.m.