Triple
T18755099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive Angry |
E458628
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Nu Image |
—
|
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: Nu Image | Statement: [Drive Angry, productionCompany, Nu Image]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nu Image Context triple: [Drive Angry, productionCompany, Nu Image]
-
A.
Nu Image
chosen
Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
-
B.
Nu
Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
-
C.
Imajica
Imajica is an epic dark fantasy novel by Clive Barker that explores parallel worlds, complex theology, and transformative love through a vast, metaphysical narrative.
-
D.
Nue
Nue is a studio album by Belgian-Canadian singer Lara Fabian that showcases her emotive pop style and powerful vocal performances.
-
E.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.