Triple
T38211679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashaad Armein Penny |
E1010562
|
entity |
| Predicate | notableCollegeStatistic |
P204539
|
FINISHED |
| Object | over 2,000 rushing yards in a single college season |
—
|
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: over 2,000 rushing yards in a single college season | Statement: [Rashaad Armein Penny, notableCollegeStatistic, over 2,000 rushing yards in a single college season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCollegeStatistic Context triple: [Rashaad Armein Penny, notableCollegeStatistic, over 2,000 rushing yards in a single college season]
-
A.
notableStatistic
Indicates that a particular statistic is especially significant or noteworthy in relation to the subject.
-
B.
notablePlayoffStatistic
Indicates that there exists a significant or distinguished statistical achievement associated with an entity’s performance in playoff competition.
-
C.
hasCollegeStatistics
Indicates that an entity possesses recorded statistical data related to its college-level performance or activities.
-
D.
leagueLeadingStatistic
Indicates that an entity holds the top value in a particular statistical category within a specified league.
-
E.
scoredPointsPerGameInCollege
Indicates the average number of points an entity (typically an athlete) scored per game during their college career.
- F. None of above. chosen
Provenance (4 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.