Triple
T9266280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 平野佳寿 |
E222707
|
entity |
| Predicate | 国際経験 |
P22109
|
FINISHED |
| Object | メジャーリーグベースボールでプレーした日本人投手 |
—
|
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: メジャーリーグベースボールでプレーした日本人投手 | Statement: [平野佳寿, 国際経験, メジャーリーグベースボールでプレーした日本人投手]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 国際経験 Context triple: [平野佳寿, 国際経験, メジャーリーグベースボールでプレーした日本人投手]
-
A.
hasGlobalExperience
Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
-
B.
endedInternationalCareer
Indicates that an entity has concluded or retired from participating in international-level activities or competitions.
-
C.
typeOfExperience
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
D.
experienceType
chosen
Indicates the specific kind or category of experience associated with an entity or event.
-
E.
startedInternationalCareer
Indicates that an entity began participating at the international level in a particular field, role, or profession from a specified time.
- F. None of above.
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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074bac9481909419988a9e8d9bd5 |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.