Triple
T6493417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert C. Brown |
E148095
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Akira Suzuki |
E70512
|
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: Akira Suzuki | Statement: [Herbert C. Brown, notableStudent, Akira Suzuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akira Suzuki Context triple: [Herbert C. Brown, notableStudent, Akira Suzuki]
-
A.
Akira Suzuki
chosen
Akira Suzuki is a Japanese chemist and Nobel laureate renowned for co-developing the Suzuki coupling reaction, a pivotal method in organic synthesis.
-
B.
Kenzo Suzuki
Kenzo Suzuki is a Japanese professional wrestler best known for his work in promotions such as Pro Wrestling Noah and WWE under the ring name Kenzo.
-
C.
Hajime Sugiyama
Hajime Sugiyama was a senior Japanese Army general and Army Chief of Staff who played a central role in planning and directing Japan’s military expansion during the Second Sino-Japanese War and World War II.
-
D.
Shun Satō
Shun Satō is a Japanese figure skater known for competing internationally in men's singles events.
-
E.
Sanjo Ohashi
Sanjo Ohashi is a historic bridge in Kyoto, Japan, long regarded as a key terminus of the Tōkaidō road and an important crossing point in the city.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab6abbc8190a4971ad5a654b0cd |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49c59538081909102a6954f564e46 |
completed | May 1, 2026, 12:28 p.m. |
Created at: March 22, 2026, 4:53 p.m.