Triple
T16929523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsura Kogorō |
E410666
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kido |
E351836
|
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: Kido | Statement: [Katsura Kogorō, familyName, Kido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kido Context triple: [Katsura Kogorō, familyName, Kido]
-
A.
Kido
chosen
Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
-
B.
Kōki
Kōki is a Japanese given name commonly used for males and borne by various notable figures in Japan.
-
C.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
D.
Son Kitei
Son Kitei was the Korean-born marathon runner who won the gold medal for Japan at the 1936 Berlin Olympics, later symbolizing the complex colonial history between Korea and Japan.
-
E.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf23873c8190bdc9121d6c3850e2 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdeb7a88190aac21a8645607dc8 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.