Triple
T15754486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sendai 89ers |
E381931
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Tsubasa (mascot)
Tsubasa is the official mascot character of the Japanese professional basketball team Sendai 89ers, designed to represent and energize the club and its fans.
|
E1175388
|
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: Tsubasa (mascot) | Statement: [Sendai 89ers, hasMascot, Tsubasa (mascot)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsubasa (mascot) Context triple: [Sendai 89ers, hasMascot, Tsubasa (mascot)]
-
A.
Tsubasa
Tsubasa is a Japanese Shinkansen high-speed train service that operates on the Yamagata Shinkansen line.
-
B.
Tsubame
Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
-
C.
Tsubame
Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
-
D.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
E.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
- 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: Tsubasa (mascot) Triple: [Sendai 89ers, hasMascot, Tsubasa (mascot)]
Generated description
Tsubasa is the official mascot character of the Japanese professional basketball team Sendai 89ers, designed to represent and energize the club and its fans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsubasa (mascot) Target entity description: Tsubasa is the official mascot character of the Japanese professional basketball team Sendai 89ers, designed to represent and energize the club and its fans.
-
A.
Tsubasa
Tsubasa is a Japanese Shinkansen high-speed train service that operates on the Yamagata Shinkansen line.
-
B.
Tsubame
Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
-
C.
Tsubame
Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
-
D.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
E.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff887dc9cc81908833f9881647d82f |
completed | May 9, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8970b85081909c8eb114851841f1 |
completed | May 9, 2026, 7:22 p.m. |
Created at: April 10, 2026, 4:47 a.m.