Triple
T20204347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiya Suzuki |
E493309
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Seiya Suzuki |
—
|
NE NERFINISHED |
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: Seiya Suzuki | Statement: [Seiya Suzuki, name, Seiya Suzuki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiya Suzuki Context triple: [Seiya Suzuki, name, Seiya Suzuki]
-
A.
Seiya Suzuki
chosen
Seiya Suzuki is a Japanese professional baseball outfielder known for his power hitting and strong all-around play, who starred in Nippon Professional Baseball before moving to Major League Baseball.
-
B.
Yoshio Matsui
Yoshio Matsui is a Japanese baseball player known for his career in Nippon Professional Baseball.
-
C.
Tiger Tanaka
Tiger Tanaka is the head of the Japanese Secret Service and a key ally to James Bond in the film and novel "You Only Live Twice."
-
D.
Tatsunori Takahashi
Tatsunori Takahashi is a video game programmer known for his work on Nintendo titles such as Super Mario Odyssey.
-
E.
Keiji Matsui
Keiji Matsui is a Japanese individual notable enough to be recognized as a namesake of the surname Matsui.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8f90108190b72e37c0056de0f8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.