Triple
T8605089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Nukata |
E203776
|
entity |
| Predicate | nameInJapanese |
P744
|
FINISHED |
| Object |
額田王
額田王は、飛鳥時代に活躍した日本の女流歌人で、『万葉集』に多くの歌を残したことで知られる人物である。
|
E745586
|
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: 額田王 | Statement: [Princess Nukata, nameInJapanese, 額田王]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 額田王 Context triple: [Princess Nukata, nameInJapanese, 額田王]
-
A.
久邇宮邦彦王
久邇宮邦彦王 was a Japanese imperial prince of the Kuni-no-miya house who served as a senior military officer and played a prominent role in the politics and aristocracy of the late Meiji and Taishō periods.
-
B.
大伴家持
大伴家持は、奈良時代の貴族であり『万葉集』の代表的な歌人の一人として知られる人物です。
-
C.
中山慶子
中山慶子 was a Japanese noblewoman and lady-in-waiting of the late Edo period, best known as the birth mother of Emperor Meiji.
-
D.
陸田
陸田 is a Japanese surname written with the kanji characters for “land” (陸) and “rice field” (田).
-
E.
悠仁親王
悠仁親王は、日本の皇室に属する秋篠宮文仁親王と紀子妃の長男であり、皇位継承順位上位に位置する皇族男子である。
- 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: 額田王 Triple: [Princess Nukata, nameInJapanese, 額田王]
Generated description
額田王は、飛鳥時代に活躍した日本の女流歌人で、『万葉集』に多くの歌を残したことで知られる人物である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 額田王 Target entity description: 額田王は、飛鳥時代に活躍した日本の女流歌人で、『万葉集』に多くの歌を残したことで知られる人物である。
-
A.
久邇宮邦彦王
久邇宮邦彦王 was a Japanese imperial prince of the Kuni-no-miya house who served as a senior military officer and played a prominent role in the politics and aristocracy of the late Meiji and Taishō periods.
-
B.
大伴家持
大伴家持は、奈良時代の貴族であり『万葉集』の代表的な歌人の一人として知られる人物です。
-
C.
中山慶子
中山慶子 was a Japanese noblewoman and lady-in-waiting of the late Edo period, best known as the birth mother of Emperor Meiji.
-
D.
陸田
陸田 is a Japanese surname written with the kanji characters for “land” (陸) and “rice field” (田).
-
E.
悠仁親王
悠仁親王は、日本の皇室に属する秋篠宮文仁親王と紀子妃の長男であり、皇位継承順位上位に位置する皇族男子である。
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46e9b6a881908f6a6c847519e5e5 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea900cf708190abb550f592edbdf6 |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9d23cc88190b937e89b9aa2bd66 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaae76d188190932826c9fd9f7f5f |
completed | April 2, 2026, 5:44 p.m. |
Created at: March 30, 2026, 6:24 p.m.