Triple
T22959274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klay Thompson |
E570847
|
entity |
| Predicate | NBAChampionshipsWonWithGoldenStateWarriors |
P7480
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Klay Thompson, NBAChampionshipsWonWithGoldenStateWarriors, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAChampionshipsWonWithGoldenStateWarriors Context triple: [Klay Thompson, NBAChampionshipsWonWithGoldenStateWarriors, 4]
-
A.
wonNBAchampionshipWith
chosen
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
-
B.
NBAChampionshipWinner
Indicates that the subject is the team or player that won the NBA championship in a given season.
-
C.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
D.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
E.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f2ce9c8190977f146771816341 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.