Triple
T28891954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phiona Mutesi |
E732721
|
entity |
| Predicate | learnedChessAt |
P165498
|
FINISHED |
| Object | Sports Outreach Ministry chess program in Katwe |
—
|
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: Sports Outreach Ministry chess program in Katwe | Statement: [Phiona Mutesi, learnedChessAt, Sports Outreach Ministry chess program in Katwe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learnedChessAt Context triple: [Phiona Mutesi, learnedChessAt, Sports Outreach Ministry chess program in Katwe]
-
A.
learnedChessAtAge
Indicates the age at which an entity first learned to play chess.
-
B.
learnedChessFrom
Indicates that one entity acquired their knowledge or skill in chess through instruction or guidance provided by another entity.
-
C.
beganPlayingPianoAtAge
Indicates the age at which an individual first started playing the piano.
-
D.
startedTrainingAtAge
Indicates the age at which an entity first began a particular training or practice.
-
E.
inChess
Indicates that the relationship or action occurs within the context, rules, or domain of the game of chess.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa137ec8190b0ccb5ab15981e5a |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 7:56 a.m.