Triple
T37382123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenta Hasegawa |
E928458
|
entity |
| Predicate | countryOfCoach |
P24596
|
FINISHED |
| Object | Japan |
E174
|
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: Japan | Statement: [Kenta Hasegawa, countryOfCoach, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCoach Context triple: [Kenta Hasegawa, countryOfCoach, Japan]
-
A.
countryCoached
chosen
Indicates that a person has served as a coach for a particular country’s team or delegation.
-
B.
coachedTeamInCountry
Indicates that a person served as a coach for a particular team while that team was based in or associated with a specified country.
-
C.
countryOfTeam
Indicates that a team is associated with or represents a particular country.
-
D.
countryOfPlayer
Indicates the country with which a given player is associated, such as their nationality or the nation they represent.
-
E.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
- F. None of above.
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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a035ac41d088190b7e76b93c1410090 |
completed | May 12, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4076eee2c0819082112dda41c2e1b4 |
completed | June 28, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a035a4f290c8190a0101295a38ae8b8 |
completed | May 12, 2026, 4:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.