Triple
T7920247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan's Famous Hot Dog Eating Contest |
E183926
|
entity |
| Predicate | notableChampion |
P2682
|
FINISHED |
| Object |
Miki Sudo
Miki Sudo is an American competitive eater best known as a multi-time women's champion in professional hot dog eating contests.
|
E722373
|
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: Miki Sudo | Statement: [Nathan's Famous Hot Dog Eating Contest, notableChampion, Miki Sudo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miki Sudo Context triple: [Nathan's Famous Hot Dog Eating Contest, notableChampion, Miki Sudo]
-
A.
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.
-
B.
Chiaki Mukai
Chiaki Mukai is a Japanese physician and astronaut who became the first Japanese woman to fly in space and a veteran of two NASA Space Shuttle missions.
-
C.
Maki Horikita
Maki Horikita is a Japanese actress known for her leading roles in popular television dramas and films during the 2000s and early 2010s.
-
D.
Miki Satō
Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
-
E.
Miko Mayama
Miko Mayama is a Japanese-American actress best known for her film and television roles in the 1960s and 1970s.
- 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: Miki Sudo Triple: [Nathan's Famous Hot Dog Eating Contest, notableChampion, Miki Sudo]
Generated description
Miki Sudo is an American competitive eater best known as a multi-time women's champion in professional hot dog eating contests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miki Sudo Target entity description: Miki Sudo is an American competitive eater best known as a multi-time women's champion in professional hot dog eating contests.
-
A.
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.
-
B.
Chiaki Mukai
Chiaki Mukai is a Japanese physician and astronaut who became the first Japanese woman to fly in space and a veteran of two NASA Space Shuttle missions.
-
C.
Maki Horikita
Maki Horikita is a Japanese actress known for her leading roles in popular television dramas and films during the 2000s and early 2010s.
-
D.
Miki Satō
Miki Satō is a Japanese singer-songwriter known for her emotionally expressive vocals and contributions to anime theme songs.
-
E.
Miko Mayama
Miko Mayama is a Japanese-American actress best known for her film and television roles in the 1960s and 1970s.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a9360f881908ca2433d0623315b |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd670e289c8190a376782df11604aa |
completed | April 1, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_69cd6c1f75748190b119acd0d92f2ef9 |
completed | April 1, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 5:06 p.m.