Triple
T27071875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernell Whitaker |
E685348
|
entity |
| Predicate | worldTitleOrganizations |
P104363
|
FINISHED |
| Object | WBC |
—
|
NE NERFINISHED |
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: WBC | Statement: [Pernell Whitaker, worldTitleOrganizations, WBC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldTitleOrganizations Context triple: [Pernell Whitaker, worldTitleOrganizations, WBC]
-
A.
worldTitleOrganization
chosen
Indicates that an organization holds or is associated with a world-level title or championship.
-
B.
worldAssociation
Indicates a broad, often global-level connection or affiliation between entities, such as membership, involvement, or linkage within a worldwide context.
-
C.
notableOrganizationType
Indicates that an organization is recognized as being of a particular notable or significant type or category.
-
D.
targetOrganizations
Indicates the organizations that are the intended recipients or focus of an action, initiative, or influence.
-
E.
geographicalOrganisation
Indicates that one entity is organized, structured, or divided according to the geographic regions or locations defined by another entity.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 8:28 a.m.