Triple
T13259308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Neveldine |
E315745
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Crank |
E121639
|
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: Crank | Statement: [Mark Neveldine, directorOf, Crank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crank Context triple: [Mark Neveldine, directorOf, Crank]
-
A.
Crank
chosen
Crank is a 2006 high-octane action thriller film starring Jason Statham as a poisoned hitman racing against time to stay alive.
-
B.
Crank: High Voltage
Crank: High Voltage is a 2009 hyper-kinetic action film starring Jason Statham as a hitman who must keep his heart electrically charged to stay alive.
-
C.
The Mechanic
The Mechanic is a 1972 action thriller film starring Charles Bronson as a professional hitman who takes on an ambitious apprentice.
-
D.
The Mechanic
The Mechanic is a laconic, skilled car tuner and driver who partners with the Driver in the 1971 road movie "Two-Lane Blacktop."
-
E.
The Driver
The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794202df08190acf1a7710b64198c |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:25 p.m.