Triple
T8650596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Kuechly |
E205089
|
entity |
| Predicate | nflDefensiveRookieOfTheYearAward |
P44535
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Luke Kuechly, nflDefensiveRookieOfTheYearAward, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflDefensiveRookieOfTheYearAward Context triple: [Luke Kuechly, nflDefensiveRookieOfTheYearAward, 2012]
-
A.
defensiveRookieOfTheYear
chosen
Indicates that the subject was awarded the Defensive Rookie of the Year honor in a given league or competition.
-
B.
nflOffensiveRookieOfTheYear
Indicates that the subject was selected as the NFL Offensive Rookie of the Year for a given season.
-
C.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
-
D.
nflOffensivePlayerOfTheYearSeasons
Indicates the seasons in which a player was recognized as the NFL Offensive Player of the Year.
-
E.
NFLOffensivePlayerOfTheYear
Indicates that an entity was selected as the NFL Offensive Player of the Year for a given season or time period.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48150e6c8190a7a3b92b4b640858 |
completed | March 31, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.