Triple
T16004128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenty family |
E388167
|
entity |
| Predicate | hasPublicAttentionBecauseOf |
P60959
|
FINISHED |
| Object | Rihanna's global fame |
—
|
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: Rihanna's global fame | Statement: [Fenty family, hasPublicAttentionBecauseOf, Rihanna's global fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicAttentionBecauseOf Context triple: [Fenty family, hasPublicAttentionBecauseOf, Rihanna's global fame]
-
A.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
-
B.
hasMannerOfNotoriety
Indicates that an entity is known or recognized in a particular way, specifying the manner or type of its notoriety.
-
C.
hasNotablePublicityReason
chosen
Indicates that an entity is associated with a specific reason or event that has led to notable public attention or publicity.
-
D.
hasMediaCoverageSince
Indicates that an entity has had media coverage starting from a specified point in time and continuing from then onward.
-
E.
gainedProminenceFor
Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.