Triple
T9161034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodama |
E219821
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kodama Kazuto
Kodama Kazuto is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Kodama.
|
E784742
|
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 Kazuto | Statement: [Kodama, hasNotableBearer, Kodama Kazuto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodama Kazuto Context triple: [Kodama, hasNotableBearer, Kodama Kazuto]
-
A.
Kirito
Kirito is the main black-clad swordsman hero of the anime and light novel series Sword Art Online, known for his exceptional skill in virtual reality MMORPGs and his role in clearing deadly game worlds.
-
B.
Ushijima Mitsuru
Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
E.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
- 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 Kazuto Triple: [Kodama, hasNotableBearer, Kodama Kazuto]
Generated description
Kodama Kazuto is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Kodama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodama Kazuto Target entity description: Kodama Kazuto is a Japanese individual notable enough to be specifically distinguished as a bearer of the surname Kodama.
-
A.
Kirito
Kirito is the main black-clad swordsman hero of the anime and light novel series Sword Art Online, known for his exceptional skill in virtual reality MMORPGs and his role in clearing deadly game worlds.
-
B.
Ushijima Mitsuru
Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
E.
Taisuke
Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
- 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_69d065c9dcf08190804bd1ae8f7874dc |
completed | April 4, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69d066f0aa588190997de81afd8dc0b5 |
completed | April 4, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d067e17fac819095544182f3232bf5 |
completed | April 4, 2026, 1:22 a.m. |
Created at: March 30, 2026, 7:21 p.m.