Triple
T8463807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio Jones |
E200107
|
entity |
| Predicate | AllProFirstTeamSelection |
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: [Julio Jones, AllProFirstTeamSelection, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AllProFirstTeamSelection Context triple: [Julio Jones, AllProFirstTeamSelection, 2]
-
A.
FirstTeamAllProSelectionCount
chosen
Indicates the number of times an entity has been selected to a First-Team All-Pro.
-
B.
teamSelection
Indicates the assignment or choice of one or more individuals or entities to be part of a specific team.
-
C.
initialTeam
Indicates that an entity is the original or starting team associated with another entity (such as a person, project, or competition).
-
D.
AllStarTeam
Indicates that an entity has been selected for inclusion on an all-star team, recognizing it as one of the top performers within a league, season, or competition.
-
E.
draftTopPickTeam
Indicates the team that selected a player with the top overall pick in a 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a39bd48190b72be7e03cff323b |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:10 p.m.