Triple
T17024437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Am I? (1998 film) |
E413026
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mirai Yamamoto
Mirai Yamamoto is a Japanese actress known for her roles in film and television since the late 1990s.
|
E1251020
|
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: Mirai Yamamoto | Statement: [Who Am I? (1998 film), starring, Mirai Yamamoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirai Yamamoto Context triple: [Who Am I? (1998 film), starring, Mirai Yamamoto]
-
A.
Yuta Nakamura
Yuta Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the Nakamura surname.
-
B.
Yuto Nakamura
Yuto Nakamura is a Japanese given name bearer, likely known as a public figure such as an athlete, entertainer, or professional in Japan.
-
C.
Yuta Watase
Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
-
D.
Mako Akishino
Mako Akishino is a former Japanese imperial family member and the eldest daughter of Prince Akishino and Princess Kiko, known internationally for her marriage to Kei Komuro and subsequent departure from royal status.
-
E.
Yuya Osako
Yuya Osako is a Japanese professional footballer and forward known for his goal-scoring ability in both the J.League and the Japan national team.
- 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: Mirai Yamamoto Triple: [Who Am I? (1998 film), starring, Mirai Yamamoto]
Generated description
Mirai Yamamoto is a Japanese actress known for her roles in film and television since the late 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirai Yamamoto Target entity description: Mirai Yamamoto is a Japanese actress known for her roles in film and television since the late 1990s.
-
A.
Yuta Nakamura
Yuta Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the Nakamura surname.
-
B.
Yuto Nakamura
Yuto Nakamura is a Japanese given name bearer, likely known as a public figure such as an athlete, entertainer, or professional in Japan.
-
C.
Yuta Watase
Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
-
D.
Mako Akishino
Mako Akishino is a former Japanese imperial family member and the eldest daughter of Prince Akishino and Princess Kiko, known internationally for her marriage to Kei Komuro and subsequent departure from royal status.
-
E.
Yuya Osako
Yuya Osako is a Japanese professional footballer and forward known for his goal-scoring ability in both the J.League and the Japan national team.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ef70208190b26029511e91afb0 |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013bd2cb708190b7e33dad9b461ae0 |
completed | May 11, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013c23f8808190856afdcbf2854244 |
completed | May 11, 2026, 2:17 a.m. |
Created at: April 10, 2026, 5:33 a.m.