Triple
T20103886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breach |
E496617
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Adam Mazer |
—
|
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: Adam Mazer | Statement: [Breach, screenwriter, Adam Mazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Mazer Context triple: [Breach, screenwriter, Adam Mazer]
-
A.
Adam Mazer
chosen
Adam Mazer is an American screenwriter known for his work on films and television projects, often in the thriller and crime genres.
-
B.
Ethan Maisel
Ethan Maisel is a fictional character from the television series "The Marvelous Mrs. Maisel," appearing as the young son of comedian Miriam "Midge" Maisel.
-
C.
Zachary Sklar
Zachary Sklar is an American screenwriter and journalist best known for co-writing Oliver Stone’s political thriller film "JFK."
-
D.
Ari Benjamin Meyers
Ari Benjamin Meyers is a contemporary composer and artist known for his experimental works that blur the boundaries between music, performance, and visual art.
-
E.
Yasha Mazur
Yasha Mazur is the conflicted Jewish magician and acrobat at the center of Isaac Bashevis Singer’s novel, whose personal struggles with faith, love, and morality drive the story’s tragic arc.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:27 p.m.