Triple
T20620772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Dog |
E506690
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Zack Mazursky |
—
|
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: Zack Mazursky | Statement: [Alpha Dog, mainCharacter, Zack Mazursky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zack Mazursky Context triple: [Alpha Dog, mainCharacter, Zack Mazursky]
-
A.
Zack Mazursky
chosen
Zack Mazursky is a fictional teenager in the crime drama film "Alpha Dog," whose kidnapping and murder are central to the movie’s plot, inspired by the real-life Nicholas Markowitz case.
-
B.
Paul Mazursky
Paul Mazursky was an American film director, screenwriter, and actor known for his sharp, character-driven social comedies and satires in the 1960s through the 1980s.
-
C.
Barry Levinson
Barry Levinson is an American filmmaker and screenwriter best known for directing acclaimed films such as "Rain Man," "Diner," and "Good Morning, Vietnam."
-
D.
Rex Reed
Rex Reed is an American film critic and occasional actor known for his sharp-tongued reviews and appearances in films and on television.
-
E.
David Dobkin
David Dobkin is an American film director and producer best known for his work on hit comedies such as "Wedding Crashers."
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.