Triple
T16521487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Cox |
E401327
|
entity |
| Predicate | wonClubBestAndFairestInYear |
P74665
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Dean Cox, wonClubBestAndFairestInYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonClubBestAndFairestInYear Context triple: [Dean Cox, wonClubBestAndFairestInYear, 2005]
-
A.
clubBestAndFairestAwards
Indicates that a person has received a club’s “Best and Fairest” award, typically recognizing the most outstanding and fair player for a season or period.
-
B.
clubBestAndFairest
chosen
Indicates that an entity has been judged the best and fairest player for a club, typically as the recipient of the club’s top seasonal performance and sportsmanship award.
-
C.
nationalPlayerOfTheYearAward
Indicates that an athlete has been selected as the top national player of the year in their sport or league.
-
D.
teammateOfTheYear
Indicates that one entity has been recognized or awarded as the outstanding or most valuable teammate in relation to another entity or within a shared team context.
-
E.
BrownlowMedalYear
Indicates the year in which a given Brownlow Medal was awarded.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e804e388190b684bde2c82ab770 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.