Triple
T34701312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Kuffour |
E1000375
|
entity |
| Predicate | AfricanPlayerOfTheYearTopThreeFinish |
P181801
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Samuel Kuffour, AfricanPlayerOfTheYearTopThreeFinish, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfricanPlayerOfTheYearTopThreeFinish Context triple: [Samuel Kuffour, AfricanPlayerOfTheYearTopThreeFinish, 1999]
-
A.
numberOfAfricanPlayerOfTheYearAwards
Indicates the count of times an entity has received the African Player of the Year award.
-
B.
yearOfAward_African_Footballer_of_the_Year
Indicates the specific year in which an individual received the African Footballer of the Year award.
-
C.
fifaWorldPlayerOfTheYear
Indicates that one entity has been awarded the FIFA World Player of the Year title for a given year or period.
-
D.
StateOfOriginManOfTheMatchAwards
Indicates the number of Man of the Match awards a player has received in State of Origin matches.
-
E.
pfaPlayersPlayerOfTheYear
Indicates that the subject is the player who received the PFA Players' Player of the Year award in the given context.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 3, 2026, 3:59 p.m.