Triple
T13511166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Amiel |
E321141
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Copycat |
E237571
|
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: Copycat | Statement: [Jon Amiel, notableWork, Copycat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copycat Context triple: [Jon Amiel, notableWork, Copycat]
-
A.
Copycat
chosen
Copycat is a 1995 psychological thriller film about a criminal psychologist and a detective hunting a serial killer who imitates the methods of infamous murderers.
-
B.
Clone High
Clone High is an animated television series that satirically follows teenage clones of historical figures attending high school together.
-
C.
Copia
Copia was a later Roman colony in southern Italy that succeeded the ancient Greek city of Thurii.
-
D.
Everything Is Copy
Everything Is Copy is a 2015 HBO documentary film directed by Jacob Bernstein that explores the life, work, and legacy of his mother, writer and filmmaker Nora Ephron.
-
E.
Carbon Copy
Carbon Copy is a 1981 American comedy film starring George Segal and Denzel Washington in his feature-film debut.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.