Triple
T18488599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obasan |
E451754
|
entity |
| Predicate | centralCharacter |
P9202
|
FINISHED |
| Object | Naomi Nakane |
—
|
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: Naomi Nakane | Statement: [Obasan, centralCharacter, Naomi Nakane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Nakane Context triple: [Obasan, centralCharacter, Naomi Nakane]
-
A.
Naomi Nakane
chosen
Naomi Nakane is the introspective Japanese-Canadian narrator of Joy Kogawa’s novel "Obasan," through whose memories and reflections the story of wartime internment and its lasting trauma is revealed.
-
B.
Anna Nakagawa
Anna Nakagawa was a Japanese actress best known internationally for her role in the 1991 kaiju film "Godzilla vs. King Ghidorah."
-
C.
Atsuko Nishida
Atsuko Nishida is a Japanese illustrator and character designer best known for creating Pikachu and contributing to many iconic Pokémon designs.
-
D.
Shoko Nakagawa
Shoko Nakagawa is a Japanese singer, voice actress, and television personality known for her prominent work in anime music and otaku culture.
-
E.
Sanae Takaichi
Sanae Takaichi is a Japanese conservative politician of the Liberal Democratic Party who has served in several ministerial posts and is known for her bids for party leadership and advocacy of hawkish security and traditionalist social policies.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d8bac4819099306abbf78b9565 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.