Triple
T20487119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evelyn Ward |
E502625
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Ryan Cassidy |
—
|
NE NERFINISHED |
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: Ryan Cassidy | Statement: [Evelyn Ward, relative, Ryan Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Cassidy Context triple: [Evelyn Ward, relative, Ryan Cassidy]
-
A.
Ryan Cassidy
chosen
Ryan Cassidy is an American actor and production designer, and the son of actress Shirley Jones and actor Jack Cassidy.
-
B.
Jason Gourson
Jason Gourson is a composer and music producer known for creating the musical score for the comedy horror film "Meet the Blacks."
-
C.
Ed Cassidy
Ed Cassidy was an American jazz and rock drummer best known as a founding member of the psychedelic rock band Spirit.
-
D.
Trevor LeBlanc
Trevor LeBlanc is a fictional U.S. Army soldier and central character on the television drama series "Army Wives."
-
E.
Colin Fournier
Colin Fournier is a British architect and academic best known for his innovative, experimental designs and his co-authorship of the iconic biomorphic Kunsthaus Graz in Austria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5b96c0819080c47064143cdbc9 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.