Triple
T32549987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | alvinkamara |
E831946
|
entity |
| Predicate | hasLinkTo |
P180731
|
FINISHED |
| Object | Alvin Kamara-related brands or partnerships |
—
|
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: Alvin Kamara-related brands or partnerships | Statement: [alvinkamara, hasLinkTo, Alvin Kamara-related brands or partnerships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinkTo Context triple: [alvinkamara, hasLinkTo, Alvin Kamara-related brands or partnerships]
-
A.
hasBeenLinkedTo
chosen
Indicates that an entity has been associated or connected with another entity, often suggesting a reported or inferred relationship between them.
-
B.
canBeLinkedTo
Indicates that one entity has the potential or capability to be connected or associated with another entity.
-
C.
hasExternalLink
Indicates that an entity is associated with a hyperlink pointing to a resource outside the current system or domain.
-
D.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
E.
hasDeepLevelLink
Indicates a relationship where one entity is connected to another through a non-obvious, nested, or lower-level link within a hierarchical or layered structure.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 1, 2026, 1:02 a.m.