Triple
T14089476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saito |
E339085
|
entity |
| Predicate | romanizationOf |
P2508
|
FINISHED |
| Object | さいとう |
E92538
|
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: さいとう | Statement: [Saito, romanizationOf, さいとう]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: さいとう Context triple: [Saito, romanizationOf, さいとう]
-
A.
Koji Sato
Koji Sato is a Japanese automotive executive who serves as the president and CEO of Toyota Motor Corporation.
-
B.
Satō
chosen
Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
C.
Tetsuzō
Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
-
D.
Shigeo
Shigeo is a Japanese given name commonly used for males.
-
E.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a5c9948190805c2e687c8809ff |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.