Triple
T15572321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itagaki |
E374275
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Itagaki Naoko
Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
|
E1180660
|
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: Itagaki Naoko | Statement: [Itagaki, hasNotableBearer, Itagaki Naoko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itagaki Naoko Context triple: [Itagaki, hasNotableBearer, Itagaki Naoko]
-
A.
Okamura Naoko
Okamura Naoko is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
B.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
C.
Kawakami Yūko
Kawakami Yūko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kawakami.
-
D.
Okamura Yuki
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
E.
Yoshida Yukiko
Yoshida Yukiko was the wife of Shigeru Yoshida, a prominent post–World War II Japanese prime minister and key architect of Japan’s modern foreign policy.
- 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: Itagaki Naoko Triple: [Itagaki, hasNotableBearer, Itagaki Naoko]
Generated description
Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itagaki Naoko Target entity description: Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
-
A.
Okamura Naoko
Okamura Naoko is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
B.
Yamaboko Junko
Yamaboko Junko is the grand procession of elaborately decorated festival floats that serves as the main highlight of Kyoto’s Gion Matsuri.
-
C.
Kawakami Yūko
Kawakami Yūko is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Kawakami.
-
D.
Okamura Yuki
Okamura Yuki is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Okamura.
-
E.
Yoshida Yukiko
Yoshida Yukiko was the wife of Shigeru Yoshida, a prominent post–World War II Japanese prime minister and key architect of Japan’s modern foreign policy.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa124e7d48190ac25e9541dea0122 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa1a919b481909c0007411535588b |
completed | May 9, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4212ca88190973d68dfbd8e103a |
completed | May 9, 2026, 9:16 p.m. |
Created at: April 10, 2026, 4:10 a.m.