Triple
T13190755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dorsett |
E313977
|
entity |
| Predicate | nflYardsFromScrimmageCareer |
P91386
|
FINISHED |
| Object | 16326 |
—
|
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: 16326 | Statement: [Tony Dorsett, nflYardsFromScrimmageCareer, 16326]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflYardsFromScrimmageCareer Context triple: [Tony Dorsett, nflYardsFromScrimmageCareer, 16326]
-
A.
yardsFromScrimmageCareerNFL
chosen
Indicates the total number of yards a player has gained from scrimmage over their entire NFL career.
-
B.
passingYardsCareer
Indicates the total number of yards a player has gained by passing the ball over the course of their entire career.
-
C.
totalYardsFromScrimmageInSeason
Indicates the total number of yards a player gained from scrimmage (both rushing and receiving) over the course of a single season.
-
D.
careerPassingYardsNFL
Indicates the total number of passing yards a player has accumulated over their entire career in the NFL.
-
E.
careerYardsPerCarry
Indicates the average number of yards a player gains per rushing attempt over the entirety of their 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.