Triple
T23092619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Oosthuizen |
E575798
|
entity |
| Predicate | amateurTeamAppearance |
P117525
|
FINISHED |
| Object | Eisenhower Trophy for South Africa |
—
|
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: Eisenhower Trophy for South Africa | Statement: [Louis Oosthuizen, amateurTeamAppearance, Eisenhower Trophy for South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amateurTeamAppearance Context triple: [Louis Oosthuizen, amateurTeamAppearance, Eisenhower Trophy for South Africa]
-
A.
amateurTeamAppearances
chosen
Indicates the number of times an individual has played for or appeared in matches with an amateur team.
-
B.
amateurAchievement
Indicates that an entity has achieved something notable or commendable in a non-professional or hobbyist capacity.
-
C.
amateurParticipationAllowed
Indicates that non-professional (amateur) individuals are permitted to take part in the specified activity or event.
-
D.
amateurParticipants
Indicates that the participants involved in the event or activity are amateurs rather than professionals.
-
E.
teamParticipatedIn
Indicates that a team took part in or was involved in a particular event, activity, 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18dab3798819081b2b46a20751b2a |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.