Triple
T678623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Riley |
E13131
|
entity |
| Predicate | NBAChampionshipsAsExecutive |
P17436
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Pat Riley, NBAChampionshipsAsExecutive, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAChampionshipsAsExecutive Context triple: [Pat Riley, NBAChampionshipsAsExecutive, 3]
-
A.
numberOfNBAChampionshipsAsHeadCoach
Indicates the count of NBA championship titles an individual has won while serving as a head coach.
-
B.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
C.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
D.
NBAExecutiveOfTheYearAwards
Indicates the relationship where an individual receives or is honored with the NBA Executive of the Year award for a particular season or time period.
-
E.
NBAExecutiveOfTheYearAwardYear
Indicates the specific year in which an individual received the NBA Executive of the Year award.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.