Triple
T3762716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideki Matsui |
E82599
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Matsui |
E270327
|
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: Matsui | Statement: [Hideki Matsui, familyName, Matsui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsui Context triple: [Hideki Matsui, familyName, Matsui]
-
A.
Matsui
chosen
Matsui is a Japanese surname borne by various notable figures in fields such as politics, sports, and the military.
-
B.
Hideki Matsui
Hideki Matsui is a former Japanese professional baseball slugger who became a star outfielder and designated hitter in Major League Baseball, most notably with the New York Yankees.
-
C.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
D.
Shohei
Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
-
E.
Tatsunori Hara
Tatsunori Hara is a prominent Japanese baseball manager and former Yomiuri Giants star known for leading both his club and Japan’s national team to multiple championships.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfa44ac819082f2c895d96c9170 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f034ce008190bcae03916cfa588e |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.