Triple
T690770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isamu Chō |
E13386
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Isamu Chō |
E13386
|
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: Isamu Chō | Statement: [Isamu Chō, name, Isamu Chō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isamu Chō Context triple: [Isamu Chō, name, Isamu Chō]
-
A.
Isamu Chō
chosen
Isamu Chō was an Imperial Japanese Army general known for his extreme nationalism and key leadership role in Japan’s final World War II battles, including the defense of Okinawa.
-
B.
Isamu Yokoyama
Isamu Yokoyama was an Imperial Japanese Army general who played a prominent leadership role in major early Second Sino-Japanese War operations.
-
C.
Tadao Kashio
Tadao Kashio was a Japanese engineer and entrepreneur best known for co-founding Casio and pioneering innovative electronic calculators and consumer electronics.
-
D.
Ryoji Noyori
Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
-
E.
Isamu Noguchi
Isamu Noguchi was a renowned 20th-century Japanese American artist and landscape architect celebrated for his modernist sculptures, furniture, and public spaces that blend art, design, and architecture.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbac916188190b850b247232887a2 |
completed | March 7, 2026, 11:54 p.m. |
Created at: March 1, 2026, 7:36 p.m.