Triple
T7110116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonny Wilkinson |
E165685
|
entity |
| Predicate | pointScoringRecord |
P67862
|
FINISHED |
| Object | one of the highest points scorers in international rugby union |
—
|
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: one of the highest points scorers in international rugby union | Statement: [Jonny Wilkinson, pointScoringRecord, one of the highest points scorers in international rugby union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointScoringRecord Context triple: [Jonny Wilkinson, pointScoringRecord, one of the highest points scorers in international rugby union]
-
A.
scoringRecord
chosen
Indicates that there exists a record documenting a scoring event or outcome associated with the given entities.
-
B.
scoringLeaderPoints
Indicates the number of points scored by the leading scorer in a game, season, or competition.
-
C.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
D.
pointsScored
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
E.
scoresWhen
Indicates that one entity achieves a score or points at the time or under the condition specified by another entity or event.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5be09d881909988b5382ffa20ed |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.