Triple
T4682453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Yenangyaung |
E103835
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Shōzō Sakurai |
E224272
|
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: Shōzō Sakurai | Statement: [Battle of Yenangyaung, commander, Shōzō Sakurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shōzō Sakurai Context triple: [Battle of Yenangyaung, commander, Shōzō Sakurai]
-
A.
Shōzō Sakurai
chosen
Shōzō Sakurai was an Imperial Japanese Army general who held a senior command role during World War II, including in the campaign involving the occupation of Singapore.
-
B.
Yoshikuni Sugiyama
Yoshikuni Sugiyama is a Japanese media executive known for his leadership role at Nippon Television Network.
-
C.
Gisiro Maruyama
Gisiro Maruyama was a Japanese mathematician known for his foundational contributions to the theory and numerical analysis of stochastic differential equations.
-
D.
Kenji Satō
Kenji Satō is a Japanese individual notable enough to be specifically cited as a bearer of the common Japanese surname Satō.
-
E.
Shōji Nishimura
Shōji Nishimura was an Imperial Japanese Navy admiral during World War II, noted for his role and death in the Battle of Leyte Gulf.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd637fedd0819097f59734a9f9a01f |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca0812dcec819080c8386061d913b3 |
completed | March 30, 2026, 5:20 a.m. |
Created at: March 20, 2026, 1:16 p.m.