Triple
T22103883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Education (2019 film) |
E546236
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Oren Moverman |
—
|
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: Oren Moverman | Statement: [Bad Education (2019 film), producer, Oren Moverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oren Moverman Context triple: [Bad Education (2019 film), producer, Oren Moverman]
-
A.
Oren Moverman
chosen
Oren Moverman is an Israeli-American screenwriter and director known for his work on acclaimed films such as "I'm Not There," "The Messenger," and "Rampart."
-
B.
Des McAnuff
Des McAnuff is a Tony Award–winning Canadian-American director and producer best known for his work on major Broadway musicals such as "Jersey Boys" and "Big River."
-
C.
Michael Almereyda
Michael Almereyda is an American filmmaker and screenwriter known for his inventive, often experimental adaptations of classic literature and genre stories.
-
D.
Daniel LeRoy
Daniel LeRoy was an American lawyer and politician who became the inaugural Attorney General of the state of Michigan in the 19th century.
-
E.
David LeRoy Anderson
David LeRoy Anderson is an American special effects and makeup artist known for his work on major Hollywood films and for winning Academy Awards in his field.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.