Triple
T13172071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Cranham |
E313000
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hot Fuzz |
E179837
|
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: Hot Fuzz | Statement: [Kenneth Cranham, notableWork, Hot Fuzz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Fuzz Context triple: [Kenneth Cranham, notableWork, Hot Fuzz]
-
A.
Hot Fuzz
chosen
Hot Fuzz is a 2007 British action-comedy film directed by Edgar Wright, following an overachieving London police officer reassigned to a seemingly quiet village hiding dark secrets.
-
B.
Tropic Thunder
Tropic Thunder is a 2008 satirical action-comedy film that parodies Hollywood war movies and the film industry, featuring an ensemble cast including Ben Stiller, Jack Black, and Robert Downey Jr.
-
C.
Fukrey
Fukrey is a popular 2013 Indian Hindi-language comedy film about a group of slackers in Delhi whose get-rich-quick schemes lead to chaotic and humorous consequences.
-
D.
Kiss Kiss Bang Bang
Kiss Kiss Bang Bang is a darkly comedic neo-noir crime film that blends sharp, self-aware humor with a twisty mystery narrative.
-
E.
Kick-Ass
Kick-Ass is a 2010 British-American superhero black comedy film, based on the comic book by Mark Millar and John Romita Jr., that satirizes traditional superhero tropes through its story of an ordinary teenager who becomes a costumed vigilante.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafb81288190a6dcc3bd872998d8 |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.