Triple
T7963972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jahlil Beats |
E184950
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Cassidy |
E577917
|
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: Cassidy | Statement: [Jahlil Beats, associatedAct, Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassidy Context triple: [Jahlil Beats, associatedAct, Cassidy]
-
A.
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.
-
B.
Cassidy
chosen
Cassidy is an American rapper known for his punchline-heavy battle rap style and early-2000s hits like "Hotel" and "I'm a Hustla."
-
C.
Cassidy
Cassidy is a feminine given name of Irish origin that has become popular in English-speaking countries.
-
D.
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.
-
E.
Cassie
Cassie is an American R&B singer and model best known for her hit single "Me & U" and her work with Bad Boy Records.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.