Triple
T9161043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodama |
E219821
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kodama Yōko
Kodama Yōko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
|
E833257
|
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: Kodama Yōko | Statement: [Kodama, hasNotableBearer, Kodama Yōko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodama Yōko Context triple: [Kodama, hasNotableBearer, Kodama Yōko]
-
A.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
-
B.
Shigeko Yuki
Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century Japan.
-
C.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
D.
Yamada Kiyomi
Yamada Kiyomi was an Imperial Japanese Army officer who commanded Japanese forces during the World War II Battle of Milne Bay in New Guinea.
-
E.
Kawashima Ayako
Kawashima Ayako is a member of the Japanese Kawashima family, known primarily as the sister of Empress Kiko of Japan.
- 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: Kodama Yōko Triple: [Kodama, hasNotableBearer, Kodama Yōko]
Generated description
Kodama Yōko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodama Yōko Target entity description: Kodama Yōko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kodama.
-
A.
Kawashima Kiko
Kawashima Kiko, better known as Princess Kiko, is a member of the Japanese imperial family and the wife of Crown Prince Fumihito (Prince Akishino).
-
B.
Shigeko Yuki
Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century Japan.
-
C.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
D.
Yamada Kiyomi
Yamada Kiyomi was an Imperial Japanese Army officer who commanded Japanese forces during the World War II Battle of Milne Bay in New Guinea.
-
E.
Kawashima Ayako
Kawashima Ayako is a member of the Japanese Kawashima family, known primarily as the sister of Empress Kiko of Japan.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2572f5ccc81909f967dc69a8ae260 |
completed | April 5, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:21 p.m.