Triple
T3009759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Hustle |
E81987
|
entity |
| Predicate | editor |
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: [American Hustle, editor, Jay Cassidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Cassidy Context triple: [American Hustle, editor, 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.
Dylan Tichenor
Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
-
D.
Ryan Cassidy
Ryan Cassidy is an American actor and production designer, and the son of actress Shirley Jones and actor Jack Cassidy.
-
E.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e5f612c8190824deb0813a9f981 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.