Triple
T32549909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvin Kamara |
E831944
|
entity |
| Predicate | rookieSeasonTeam |
P15430
|
FINISHED |
| Object | New Orleans Saints |
—
|
NE NERFINISHED |
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: New Orleans Saints | Statement: [Alvin Kamara, rookieSeasonTeam, New Orleans Saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieSeasonTeam Context triple: [Alvin Kamara, rookieSeasonTeam, New Orleans Saints]
-
A.
rookieOfTheYearOnTeam
Indicates that an entity was selected as the Rookie of the Year while playing for a specified team.
-
B.
rookieSeason
Indicates the season in which an individual first begins their professional or official participation in a given activity or league.
-
C.
coachingDebutTeam
Indicates the team for which a person made their first appearance as a coach.
-
D.
professionalDebutTeam
chosen
Indicates the team for which an individual first appeared in a professional-level competition or league.
-
E.
rookieOfTheYearTeam
Indicates that a person received the Rookie of the Year award while playing for a particular team.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5c5a8c4819088fcf00fcbcc7f51 |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.