Triple
T2196741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshihide Suga |
E49991
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Suga |
E49991
|
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: Suga | Statement: [Yoshihide Suga, familyName, Suga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suga Context triple: [Yoshihide Suga, familyName, Suga]
-
A.
Suga
chosen
Suga is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021.
-
B.
Swae Lee
Swae Lee is an American rapper, singer, and songwriter best known as one half of the hip hop duo Rae Sremmurd and for his melodic, genre-blending solo work and hit collaborations.
-
C.
Doug Jung
Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
-
D.
Binz
Binz is a popular seaside resort town on the German island of Rügen, known for its sandy beaches and historic resort architecture.
-
E.
Wi Ha-joon
Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf77e4f08190a1f5ea601d306596 |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db7af9881908348ce1ad35f247a |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.