Triple
T23743424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Pickens |
E586747
|
entity |
| Predicate | classOfDraft |
P63985
|
FINISHED |
| Object | 2022 NFL Draft class |
—
|
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: 2022 NFL Draft class | Statement: [George Pickens, classOfDraft, 2022 NFL Draft class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classOfDraft Context triple: [George Pickens, classOfDraft, 2022 NFL Draft class]
-
A.
typeOfDraft
Indicates that one entity is a specific kind or category of draft version of another entity.
-
B.
hasDraftClass
Indicates that an entity is associated with, or belongs to, a particular draft classification or draft category.
-
C.
draftClass
chosen
Indicates that an entity is assigned to or associated with a particular draft classification or category.
-
D.
usesDraftSystem
Indicates that one entity employs or operates using a draft-based system or mechanism rather than a finalized or direct method.
-
E.
draftType
Indicates the specific category or kind of draft associated with an entity or document (e.g., initial, revised, or final draft).
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbbcf988190b56d74af4b126bd8 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.