Triple
T9538660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelmo Beaty |
E230088
|
entity |
| Predicate | ABAchampionship |
P67415
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [Zelmo Beaty, ABAchampionship, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ABAchampionship Context triple: [Zelmo Beaty, ABAchampionship, 1971]
-
A.
wonABAChampionship
chosen
Indicates that one entity achieved victory in and secured the championship title of an ABA (American Basketball Association) competition or season over another entity or in a given context.
-
B.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
-
C.
wonABAChampionshipWith
Indicates that an entity secured an ABA championship title while being a member of, or associated with, a specified team or organization.
-
D.
cbaChampionship
Indicates that an entity has won or is associated with a championship title in the Chinese Basketball Association (CBA).
-
E.
WHAChampionships
Indicates the number of championships an entity has won in the World Hockey Association (WHA).
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cfead8819089a8f47ea83500a4 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.