Triple
T11292773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gracie Gold |
E267367
|
entity |
| Predicate | personalBestCombinedTotalScore |
P43521
|
FINISHED |
| Object | 211.29 |
—
|
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: 211.29 | Statement: [Gracie Gold, personalBestCombinedTotalScore, 211.29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalBestCombinedTotalScore Context triple: [Gracie Gold, personalBestCombinedTotalScore, 211.29]
-
A.
personalBest
chosen
Indicates that one entity represents the best performance or achievement ever attained personally by another entity.
-
B.
individualScoring
Indicates that a specific individual receives or is assigned a particular score or evaluation in a given context.
-
C.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
D.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
E.
positionInAllTimeScoring
Indicates the ranking or placement of an entity within an all-time scoring leaderboard or cumulative scoring list.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.