Triple
T20389596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zack Mazursky |
E498049
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Nicholas Markowitz |
—
|
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: Nicholas Markowitz | Statement: [Zack Mazursky, inspiredBy, Nicholas Markowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Markowitz Context triple: [Zack Mazursky, inspiredBy, Nicholas Markowitz]
-
A.
Nicholas Markowitz
chosen
Nicholas Markowitz was a California teenager whose 2000 kidnapping and murder by a group of young men, including Jesse James Hollywood, inspired the film character Zack Mazursky in "Alpha Dog."
-
B.
Nicholas Siegel
Nicholas Siegel is an American actor known for his role in the film "For Those in Peril."
-
C.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
D.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
E.
Andrew Mondshein
Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.