Triple
T2063429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Corregidor (1942) |
E45842
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object |
Kureo Taniguchi
Kureo Taniguchi was an Imperial Japanese Army officer who played a key leadership role in Japan’s World War II campaigns in the Philippines.
|
E427961
|
NE FINISHED |
How this triple was built (4 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: Kureo Taniguchi | Statement: [Battle of Corregidor (1942), commander, Kureo Taniguchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kureo Taniguchi Context triple: [Battle of Corregidor (1942), commander, Kureo Taniguchi]
-
A.
Tetsu Katayama
Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
-
B.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
C.
Makoto Yamashita
Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
-
D.
Yūsaku Kamekura
Yūsaku Kamekura was a pioneering Japanese graphic designer renowned for his modernist posters and visual identities, including iconic work for the 1964 Tokyo Olympics.
-
E.
Kiyoshi Kimura
Kiyoshi Kimura was a Japanese military officer who commanded Imperial Japanese forces during World War II, notably in the Pacific theater.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kureo Taniguchi Triple: [Battle of Corregidor (1942), commander, Kureo Taniguchi]
Generated description
Kureo Taniguchi was an Imperial Japanese Army officer who played a key leadership role in Japan’s World War II campaigns in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kureo Taniguchi Target entity description: Kureo Taniguchi was an Imperial Japanese Army officer who played a key leadership role in Japan’s World War II campaigns in the Philippines.
-
A.
Tetsu Katayama
Tetsu Katayama was a Japanese socialist politician who served as Japan’s first postwar prime minister and the first from a socialist party.
-
B.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
C.
Makoto Yamashita
Makoto Yamashita is a Japanese politician serving as the governor of Nara Prefecture.
-
D.
Yūsaku Kamekura
Yūsaku Kamekura was a pioneering Japanese graphic designer renowned for his modernist posters and visual identities, including iconic work for the 1964 Tokyo Olympics.
-
E.
Kiyoshi Kimura
Kiyoshi Kimura was a Japanese military officer who commanded Imperial Japanese forces during World War II, notably in the Pacific theater.
- F. None of above. chosen
Provenance (5 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6c1bb08819086668e6c1f0cce03 |
completed | March 14, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69b5c7ab41fc81909813233bd729e989 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c81d6e188190a1f0f21a990943d0 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:40 p.m.