Triple
T7102579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie George |
E165492
|
entity |
| Predicate | nflOffensiveRookieOfTheYear |
P74914
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Eddie George, nflOffensiveRookieOfTheYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nflOffensiveRookieOfTheYear Context triple: [Eddie George, nflOffensiveRookieOfTheYear, 1996]
-
A.
nflOffensivePlayerOfTheYearSeasons
Indicates the seasons in which a player was recognized as the NFL Offensive Player of the Year.
-
B.
defensiveRookieOfTheYear
Indicates that the subject was awarded the Defensive Rookie of the Year honor in a given league or competition.
-
C.
nflAllProSelection
Indicates that a player was selected to an NFL All-Pro team for a given season or time period.
-
D.
HeismanTrophyWinner
Indicates that the subject is the recipient of the Heisman Trophy, awarded annually to the most outstanding player in U.S. college football.
-
E.
ProBowlMVPYear
Indicates the year in which a person was awarded the Pro Bowl Most Valuable Player (MVP) honor.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:42 p.m.