Triple
T5782852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Kay |
E128200
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Cassie |
E394486
|
NE 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: Cassie | Statement: [Ray Kay, hasWorkedWith, Cassie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassie Context triple: [Ray Kay, hasWorkedWith, Cassie]
-
A.
Cassie
chosen
Cassie is an American R&B singer and model best known for her hit single "Me & U" and her work with Bad Boy Records.
-
B.
Cassidy
Cassidy is a surname most famously associated with American singer Eva Cassidy, known for her emotive interpretations of jazz, blues, folk, and pop standards.
-
C.
Cassidy
"Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
-
D.
Cassie Davis
Cassie Davis is an Australian pop and R&B singer-songwriter and producer known for her energetic singles in the late 2000s.
-
E.
Cass
Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e7a1cb88190980e0cf675aaa906 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.