Triple
T17851473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitoshi Ueki |
E445815
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hitoshi |
—
|
NE NERFINISHED |
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: Hitoshi | Statement: [Hitoshi Ueki, givenName, Hitoshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitoshi Context triple: [Hitoshi Ueki, givenName, Hitoshi]
-
A.
Hitoshi
chosen
Hitoshi is a Japanese given name commonly used for males.
-
B.
Hisashi
Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
-
C.
Hitoshi Fugo
Hitoshi Fugo is a Japanese photographer known for his experimental and conceptual approach to photography.
-
D.
Hitoshi Ashinano
Hitoshi Ashinano is a Japanese manga artist best known for creating the contemplative, post-apocalyptic slice-of-life series "Yokohama Kaidashi Kikō."
-
E.
Hiroyuki
Hiroyuki is a Japanese given name commonly used for men, associated with various notable figures in entertainment, technology, and other fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.