Triple
T16213361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King of Staten Island |
E393520
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jay Cassidy |
E127506
|
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: Jay Cassidy | Statement: [The King of Staten Island, editedBy, Jay Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Cassidy Context triple: [The King of Staten Island, editedBy, Jay Cassidy]
-
A.
Jay Cassidy
chosen
Jay Cassidy is an American film editor known for his work on acclaimed movies such as "Silver Linings Playbook."
-
B.
Syd Cassyd
Syd Cassyd was an American television executive and visionary best known for founding the International Academy of Television Arts & Sciences, which administers the International Emmy Awards.
-
C.
Tyler Dawson
Tyler Dawson is a central character in the 1938 adventure film "Spawn of the North," set in the rugged Alaskan frontier.
-
D.
Andrew Furey
Andrew Furey is a Canadian orthopedic surgeon and politician who serves as the premier of the province of Newfoundland and Labrador.
-
E.
Sasha Sloan
Sasha Sloan is an American singer-songwriter known for her introspective pop music and collaborations with prominent artists across the contemporary pop and electronic scenes.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007932f088190b6c20913cfb932f4 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.