Triple
T29649693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Poland (2018 FIFA World Cup) |
E756100
|
entity |
| Predicate | JapanCoach |
P2169
|
FINISHED |
| Object | Akira Nishino |
—
|
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: Akira Nishino | Statement: [Japan vs Poland (2018 FIFA World Cup), JapanCoach, Akira Nishino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapanCoach Context triple: [Japan vs Poland (2018 FIFA World Cup), JapanCoach, Akira Nishino]
-
A.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
playingCoach
Indicates a person who simultaneously serves as both a player and a coach for the same team or organization.
-
C.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
D.
isCoach
Indicates that one entity serves as the coach (trainer or instructor) of another entity.
-
E.
coachProfession
Indicates that one entity serves professionally as a coach in relation to the other entity.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:51 p.m.