Triple
T5827816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Loughery |
E129270
|
entity |
| Predicate | wonABAChampionship |
P67415
|
FINISHED |
| Object | 1973-1974 season |
—
|
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: 1973-1974 season | Statement: [Kevin Loughery, wonABAChampionship, 1973-1974 season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonABAChampionship Context triple: [Kevin Loughery, wonABAChampionship, 1973-1974 season]
-
A.
wonABAChampionshipWith
Indicates that an entity secured an ABA championship title while being a member of, or associated with, a specified team or organization.
-
B.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
-
C.
cbaChampionship
Indicates that an entity has won or is associated with a championship title in the Chinese Basketball Association (CBA).
-
D.
arenaBowlTitles
Indicates the number of ArenaBowl championship titles an entity has won.
-
E.
joinedABA
Indicates that an entity became a member of or entered into an organization, group, or association referred to as ABA.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:53 p.m.