Triple
T33431598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs South Africa (2015 Rugby World Cup) |
E856144
|
entity |
| Predicate | SouthAfricaCoach |
P33087
|
FINISHED |
| Object | Heyneke Meyer |
—
|
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: Heyneke Meyer | Statement: [Japan vs South Africa (2015 Rugby World Cup), SouthAfricaCoach, Heyneke Meyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SouthAfricaCoach Context triple: [Japan vs South Africa (2015 Rugby World Cup), SouthAfricaCoach, Heyneke Meyer]
-
A.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
B.
headCoachOfHomeTeam
Indicates that a person serves as the head coach of the designated home team in a sporting event or competition.
-
C.
AFLCoach
Indicates that one entity serves as the head coach of an Australian Football League (AFL) team represented by the other entity.
-
D.
headCoachOfOpponentTeam
Indicates that one entity serves as the head coach of the team that is competing against the other entity.
-
E.
awayTeamHeadCoach
chosen
Indicates that the specified person serves as the head coach of the designated away team in a sporting event or competition.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:36 a.m.