Triple
T6852247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Anderson |
E158046
|
entity |
| Predicate | statisticCompletionPercentage |
P6853
|
FINISHED |
| Object | 59.3% |
—
|
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: 59.3% | Statement: [Ken Anderson, statisticCompletionPercentage, 59.3%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticCompletionPercentage Context triple: [Ken Anderson, statisticCompletionPercentage, 59.3%]
-
A.
completionRate
chosen
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
B.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
-
C.
completionPercentageInNFL
Indicates the proportion of pass attempts successfully completed in the NFL, expressed as a percentage.
-
D.
trainingStatus
Indicates the current state or phase of an entity within a training or learning process.
-
E.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84e6fb08190915954be5b0df2d8 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.