Triple
T16283102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo 2020 Paralympic opening ceremony |
E395317
|
entity |
| Predicate | cauldronLighter |
P12657
|
FINISHED |
| Object |
Yui Wago
Yui Wago is a Japanese Paralympic athlete best known for lighting the cauldron at the opening ceremony of the Tokyo 2020 Paralympic Games.
|
E1245481
|
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: Yui Wago | Statement: [Tokyo 2020 Paralympic opening ceremony, cauldronLighter, Yui Wago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yui Wago Context triple: [Tokyo 2020 Paralympic opening ceremony, cauldronLighter, Yui Wago]
-
A.
Yuta Watase
Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
-
B.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
C.
Yukari Sugi
Yukari Sugi is a Japanese actress and the former wife of acclaimed actor Ken Watanabe.
-
D.
Yukari Tamura
Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
-
E.
Shioli Kutsuna
Shioli Kutsuna is a Japanese-Australian actress known for roles in international films and series, including major Hollywood productions and high-profile video game projects.
- 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: Yui Wago Triple: [Tokyo 2020 Paralympic opening ceremony, cauldronLighter, Yui Wago]
Generated description
Yui Wago is a Japanese Paralympic athlete best known for lighting the cauldron at the opening ceremony of the Tokyo 2020 Paralympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yui Wago Target entity description: Yui Wago is a Japanese Paralympic athlete best known for lighting the cauldron at the opening ceremony of the Tokyo 2020 Paralympic Games.
-
A.
Yuta Watase
Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
-
B.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
C.
Yukari Sugi
Yukari Sugi is a Japanese actress and the former wife of acclaimed actor Ken Watanabe.
-
D.
Yukari Tamura
Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
-
E.
Shioli Kutsuna
Shioli Kutsuna is a Japanese-Australian actress known for roles in international films and series, including major Hollywood productions and high-profile video game projects.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24911f11881909c98ddf829f077e9 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011ba6787081909707739412271348 |
completed | May 10, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c05dbcc81909dda19bc181def21 |
completed | May 11, 2026, midnight |
Created at: April 10, 2026, 5:05 a.m.