Triple
T12719201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avi Lerner |
E303929
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Drive Angry |
E458628
|
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: Drive Angry | Statement: [Avi Lerner, produced, Drive Angry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drive Angry Context triple: [Avi Lerner, produced, Drive Angry]
-
A.
Drive Angry
chosen
Drive Angry is a 2011 supernatural action film starring Nicolas Cage and Amber Heard, known for its over-the-top violence, grindhouse style, and 3D visual effects.
-
B.
Friday of Anger
Friday of Anger was a pivotal mass protest day during Egypt’s 2011 uprising, marked by huge nationwide demonstrations and violent clashes that significantly escalated the revolution against Hosni Mubarak’s regime.
-
C.
Spinout
Spinout is a 1966 musical comedy film starring Elvis Presley as a carefree race-car driver and singer juggling romance and career.
-
D.
Frenzy
Frenzy is a Hearthstone keyword that triggers a special effect the first time a minion survives damage.
-
E.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8250108190bb7b3c93e590ea47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.