Triple
T22365096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Dellavedova |
E552882
|
entity |
| Predicate | playedWith |
P7956
|
FINISHED |
| Object | Kyrie Irving |
—
|
NE NERFINISHED |
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: Kyrie Irving | Statement: [Matthew Dellavedova, playedWith, Kyrie Irving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyrie Irving Context triple: [Matthew Dellavedova, playedWith, Kyrie Irving]
-
A.
Kyrie Irving
chosen
Kyrie Irving is an American professional basketball player and NBA champion known for his elite ball-handling, clutch scoring, and All-Star career with multiple teams.
-
B.
Damian Lillard
Damian Lillard is an NBA All-Star point guard renowned for his clutch long-range shooting, leadership, and scoring prowess.
-
C.
Jordan Clarkson
Jordan Clarkson is a Filipino-American professional basketball guard known for his prolific scoring off the bench in the NBA.
-
D.
CJ McCollum
CJ McCollum is an American professional basketball guard known for his scoring ability and key role with the Portland Trail Blazers before joining the New Orleans Pelicans.
-
E.
Cristian Ionescu
Cristian Ionescu is a Romanian academic and writer known for his contributions to philosophy and cultural studies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ffba088190ae455508eb6c2a9c |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.