Triple
T26697914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Basketball Academy |
E673074
|
entity |
| Predicate | hasFounderPosition |
P105057
|
FINISHED |
| Object | center |
—
|
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: center | Statement: [Giant Basketball Academy, hasFounderPosition, center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFounderPosition Context triple: [Giant Basketball Academy, hasFounderPosition, center]
-
A.
foundedByPosition
chosen
Indicates that an organization or entity was founded by a person serving in a specific role or position, rather than by a named individual alone.
-
B.
hasFounderName
Indicates that an entity has a founder whose personal name is given by the associated value.
-
C.
hasFounderRelationship
Indicates a relationship where one entity serves as the founder or co-founder of another entity.
-
D.
hasFounderCharacter
Indicates that an entity has a founder who possesses a specified character trait or set of personal qualities.
-
E.
hasBrandFounderRole
Indicates that an entity holds or has held the role of founder for a particular brand.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 3:29 a.m.