Triple
T27413069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Pringle |
E692811
|
entity |
| Predicate | enteredNFLAs |
P551
|
FINISHED |
| Object | undrafted free agent |
—
|
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: undrafted free agent | Statement: [Byron Pringle, enteredNFLAs, undrafted free agent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredNFLAs Context triple: [Byron Pringle, enteredNFLAs, undrafted free agent]
-
A.
joinedNFL
chosen
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
B.
formerNFLPlayerAssociated
Indicates that a person was previously an NFL player and has or had some form of association or connection with another entity (such as a team, organization, or individual).
-
C.
namedToNFLAllTimeTeam
Indicates that an entity (typically a player, coach, or contributor) has been selected to an official National Football League all-time team recognizing the greatest figures in league history.
-
D.
nflDebutYear
Indicates the year in which an individual first appeared in an official NFL game.
-
E.
NFLRookieRushingTouchdowns
Indicates the number of rushing touchdowns scored by an NFL player during their rookie season.
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:33 p.m.