Triple
T8811326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeSean Jackson scored a walk-off punt return touchdown |
E209668
|
entity |
| Predicate | returnYardage |
P34478
|
FINISHED |
| Object | 65 yards |
—
|
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: 65 yards | Statement: [DeSean Jackson scored a walk-off punt return touchdown, returnYardage, 65 yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnYardage Context triple: [DeSean Jackson scored a walk-off punt return touchdown, returnYardage, 65 yards]
-
A.
hasYardage
chosen
Indicates that something possesses or is associated with a specific measured distance or length, typically expressed in yards.
-
B.
hasYard
Indicates that one entity possesses or includes a yard as part of its property or premises.
-
C.
turfCourseDistance
Indicates the distance over which an event or action occurs on a turf (grass) course.
-
D.
yardsPerCarry
Indicates the average number of yards gained per rushing attempt in a running play.
-
E.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fed18f8819087b0282bf8c4208c |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.