Triple
T19439648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mako Iwamatsu |
E486312
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mako Iwamatsu |
—
|
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: Mako Iwamatsu | Statement: [Mako Iwamatsu, name, Mako Iwamatsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mako Iwamatsu Context triple: [Mako Iwamatsu, name, Mako Iwamatsu]
-
A.
Mako Iwamatsu
chosen
Mako Iwamatsu was a Japanese-American actor and voice actor known for his distinctive gravelly voice and roles in films like "The Sand Pebbles" and "Conan the Barbarian," as well as for voicing Iroh in "Avatar: The Last Airbender."
-
B.
Mako Komuro
Mako Komuro is a former Japanese imperial family member and niece of Emperor Naruhito who left royal status upon marrying commoner Kei Komuro.
-
C.
Shu Matsui
Shu Matsui is a Japanese playwright, director, and actor known for his work in contemporary theater.
-
D.
Mako Kamitsuna
Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
-
E.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633637ea48190bfa36b0b0a2762bc |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.