Triple
T17278698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Alumni Wide Receiver of the Year |
E419458
|
entity |
| Predicate | notableLeagueScope |
P126599
|
FINISHED |
| Object | league-wide |
—
|
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: league-wide | Statement: [NFL Alumni Wide Receiver of the Year, notableLeagueScope, league-wide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLeagueScope Context triple: [NFL Alumni Wide Receiver of the Year, notableLeagueScope, league-wide]
-
A.
notableLeague
Indicates that there is a significant or prominent league associated with the subject entity.
-
B.
notableLeagueStatus
Indicates that an entity holds a distinguished or officially recognized status within a particular league or competitive organization.
-
C.
notableBearerLeague
Indicates that a league is notably associated with or prominently represented by a particular bearer (such as a team, player, or entity).
-
D.
notableSportIncluded
Indicates that a particular sport is prominently featured or included as a notable component within something, such as an event, program, or context.
-
E.
notableClub
Indicates that an entity is prominently associated with or recognized for membership in a particular club or organization.
- F. None of above. chosen
Provenance (4 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43327b048819095fbd93b2105533a |
completed | April 19, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3874077948190acf5706cfe917d29 |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:40 a.m.