Triple
T5921495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RatDog |
E131707
|
entity |
| Predicate | performsSong |
P11145
|
FINISHED |
| Object | Cassidy |
E134957
|
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: [RatDog, performsSong, Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassidy Context triple: [RatDog, performsSong, Cassidy]
-
A.
Cassidy
chosen
"Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
-
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.
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.
-
D.
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.
-
E.
Casey
Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03802ff4081908589236ba5cd196d |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c041d4f08190863141b037b1c05f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.