Triple
T4505359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oz |
E101318
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Barry Levinson |
E73903
|
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: Barry Levinson | Statement: [Oz, executiveProducer, Barry Levinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Levinson Context triple: [Oz, executiveProducer, Barry Levinson]
-
A.
Barry Levinson
chosen
Barry Levinson is an American filmmaker and screenwriter best known for directing acclaimed films such as "Rain Man," "Diner," and "Good Morning, Vietnam."
-
B.
David Dobkin
David Dobkin is an American film director and producer best known for his work on hit comedies such as "Wedding Crashers."
-
C.
Woody Platt
Woody Platt is an American bluegrass musician best known as a founding member, guitarist, and lead vocalist of the Grammy-winning band Steep Canyon Rangers.
-
D.
Zack Mazursky
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.
-
E.
Sydney Pollack
Sydney Pollack was an American film director, producer, and actor known for acclaimed movies such as "Out of Africa," "Tootsie," and "The Firm."
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f760658819085ca8c631894b486 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.