Triple
T2333098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masataka Yoshida |
E44246
|
entity |
| Predicate | isJapanesePlayerInMLB |
P38267
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Masataka Yoshida, isJapanesePlayerInMLB, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJapanesePlayerInMLB Context triple: [Masataka Yoshida, isJapanesePlayerInMLB, true]
-
A.
JapanSeriesTitle
Indicates that the given title is the name used for a series in Japan.
-
B.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
allowsMLBPlayers
Indicates that one entity grants permission or authorization for Major League Baseball players to participate in, access, or make use of another entity or activity.
-
D.
playsJapanSeriesAgainst
Indicates that one entity participates in a Japan Series baseball matchup as an opponent against another entity.
-
E.
JapanSeriesTitles
Indicates that the subject is a title belonging to a series originating from or specifically released in Japan.
- F. None of above. chosen
Provenance (4 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:51 p.m.