Triple
T14385071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Piccolo |
E356701
|
entity |
| Predicate | collegeStatistic |
P79019
|
FINISHED |
| Object | led nation in rushing yards in 1964 |
—
|
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: led nation in rushing yards in 1964 | Statement: [Brian Piccolo, collegeStatistic, led nation in rushing yards in 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeStatistic Context triple: [Brian Piccolo, collegeStatistic, led nation in rushing yards in 1964]
-
A.
hasCollegeStatistics
chosen
Indicates that an entity possesses recorded statistical data related to its college-level performance or activities.
-
B.
collegeTeamAssists
Indicates that one college sports team provides assistance or support to another team.
-
C.
overallCollegeCoachingRecord
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
-
D.
collegeSportsContext
Indicates a relationship, event, or situation that specifically occurs within or is shaped by the environment of college or university sports.
-
E.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.