Triple
T29024088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevonne Smith Sr. |
E737538
|
entity |
| Predicate | nflAllProFirstTeamSelection |
P62817
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Stevonne Smith Sr., nflAllProFirstTeamSelection, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflAllProFirstTeamSelection Context triple: [Stevonne Smith Sr., nflAllProFirstTeamSelection, 2]
-
A.
nflAllProSelection
Indicates that a player was selected to an NFL All-Pro team for a given season or time period.
-
B.
consensusAllAmericanFirstTeamPlayer
Indicates that the player was selected as a first-team All-American by a sufficient majority of recognized selectors to be considered a consensus first-team All-American.
-
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.
FirstTeamAllProSelectionCount
chosen
Indicates the number of times an entity has been selected to a First-Team All-Pro.
-
E.
nflOffensiveRookieOfTheYear
Indicates that the subject was selected as the NFL Offensive Rookie of the Year for a given 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66007a5d8819085fcc6651a89a189 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:51 a.m.