Triple
T1026572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmitt Smith |
E22151
|
entity |
| Predicate | FirstTeamAllProSelections |
P2648
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Emmitt Smith, FirstTeamAllProSelections, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FirstTeamAllProSelections Context triple: [Emmitt Smith, FirstTeamAllProSelections, 4]
-
A.
namedFirstTeamAllPro
chosen
Indicates that an entity was selected to the First-team All-Pro roster in a given season or context.
-
B.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
-
C.
proFootballHallOfFameTeam
Indicates that a team is associated with the Pro Football Hall of Fame, typically by having players, coaches, or contributors inducted.
-
D.
allStarGame
Indicates that an entity participated in, was selected for, or is otherwise associated with an All-Star Game event.
-
E.
NFLDraftYear
Indicates the year in which a person was selected in the NFL 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f5e7b48190b26524573c2824ba |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.