Triple
T2988815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Taylor |
E80694
|
entity |
| Predicate | defensiveRookieOfTheYear |
P44535
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Lawrence Taylor, defensiveRookieOfTheYear, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defensiveRookieOfTheYear Context triple: [Lawrence Taylor, defensiveRookieOfTheYear, 1981]
-
A.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
-
B.
leagueRookieOfTheYearSeason
Indicates that an entity was selected as the league's Rookie of the Year for a particular season.
-
C.
NBArookieOfTheYearAwards
Indicates that the subject has received one or more NBA Rookie of the Year awards.
-
D.
APNFLOffensivePlayerOfTheYear
Indicates that an entity was selected as the Associated Press NFL Offensive Player of the Year for a given season.
-
E.
NBArookieOfTheYearSeason
Indicates the season in which a player received the NBA Rookie of the Year award.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c9cdd081908fa8094a3ac1f8d3 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.