Triple
T15969475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiba Jets Funabashi |
E387281
|
entity |
| Predicate | captain |
P884
|
FINISHED |
| Object | Yuki Togashi |
E1188317
|
NE FINISHED |
How this triple was built (2 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: Yuki Togashi | Statement: [Chiba Jets Funabashi, captain, Yuki Togashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuki Togashi Context triple: [Chiba Jets Funabashi, captain, Yuki Togashi]
-
A.
Yuki Togashi
chosen
Yuki Togashi is a Japanese professional basketball point guard renowned in the B.League for his scoring, playmaking, and leadership with the Chiba Jets Funabashi and the national team.
-
B.
Seishirō Tsugumi
Seishirō Tsugumi is a skilled, androgynous bodyguard and hitwoman in the romantic comedy manga and anime series "Nisekoi," known for her serious demeanor and hidden romantic feelings.
-
C.
Ai Yazawa
Ai Yazawa is a Japanese manga artist best known for her stylish, character-driven series such as "Nana" and "Paradise Kiss."
-
D.
Itagaki Naoko
Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
-
E.
Yukito Kizawa
Yukito Kizawa is a Japanese anime scriptwriter best known for his work on the popular series Sword Art Online.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.