Triple
T9974280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Sanders |
E196286
|
entity |
| Predicate | rushingYardsCareerNFL |
P14715
|
FINISHED |
| Object | 15269 |
—
|
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: 15269 | Statement: [Barry Sanders, rushingYardsCareerNFL, 15269]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rushingYardsCareerNFL Context triple: [Barry Sanders, rushingYardsCareerNFL, 15269]
-
A.
careerRushingYards
chosen
Indicates the total number of rushing yards an entity has accumulated over the entire span of its career.
-
B.
rushingYards
Indicates the number of yards a player gains by running the ball on rushing plays.
-
C.
careerYardsPerCarry
Indicates the average number of yards a player gains per rushing attempt over the entirety of their career.
-
D.
NFLAllTimeRushingYardsLeader
Indicates that the subject is the player who has accumulated the most career rushing yards in NFL history.
-
E.
passingYardsCareer
Indicates the total number of yards a player has gained by passing the ball over the course of their entire career.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb849da448190b826cb8fbf2eeb89 |
completed | April 2, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.