Triple
T22582512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Tee |
E544601
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Jae B. Takata |
E1545028
|
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: Jae B. Takata | Statement: [Brian Tee, alternateName, Jae B. Takata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jae B. Takata Context triple: [Brian Tee, alternateName, Jae B. Takata]
-
A.
Jae-Beom Takata
chosen
Jae-Beom Takata is the birth name of Brian Tee, a Japanese-American actor known for roles in films like "The Fast and the Furious: Tokyo Drift" and the TV series "Chicago Med."
-
B.
Takeshi Hamano
Takeshi Hamano is a Japanese politician who serves as the mayor of Shinagawa, a special ward in Tokyo.
-
C.
Minoru Takase
Minoru Takase was a Japanese actor known for his work in early 20th-century cinema, particularly in comedic and character roles.
-
D.
Taku Satoh
Taku Satoh is a prominent Japanese graphic designer known for his minimalist, concept-driven work in branding, packaging, and exhibition design.
-
E.
Hiro Matsuda
Hiro Matsuda was a renowned Japanese professional wrestler and legendary trainer known for shaping the careers of major stars in the wrestling industry.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15ff26d6481908cc058f8c4b87e75 |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9a85f108190919e338bb38ca0ae |
completed | May 19, 2026, 1:15 a.m. |
Created at: April 16, 2026, 8:53 p.m.