Triple
T4931519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamon Yamaguchi |
E110706
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tamon Yamaguchi |
E110706
|
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: Tamon Yamaguchi | Statement: [Tamon Yamaguchi, name, Tamon Yamaguchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamon Yamaguchi Context triple: [Tamon Yamaguchi, name, Tamon Yamaguchi]
-
A.
Tamon Yamaguchi
chosen
Tamon Yamaguchi was a prominent Imperial Japanese Navy admiral and carrier task force commander during World War II, best known for his role and death in the Battle of Midway.
-
B.
Daisuke Kato
Daisuke Kato is a former Japanese professional baseball player best known for his time with the Orix Buffaloes in Nippon Professional Baseball.
-
C.
Tatsunori Hara
Tatsunori Hara is a prominent Japanese baseball manager and former Yomiuri Giants star known for leading both his club and Japan’s national team to multiple championships.
-
D.
Kazuyoshi Funaki
Kazuyoshi Funaki is a Japanese ski jumper best known for winning multiple gold medals and becoming a national hero at the 1998 Nagano Winter Olympics.
-
E.
Kosuke Imai
Kosuke Imai is a political scientist and statistician known for his contributions to causal inference, experimental design, and statistical methods in the social sciences.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7063c57c8190a5a6fb3586238d35 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c5f8ec8190834c624bae17adff |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:30 p.m.