Triple
T16107907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Calder |
E390787
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | You’re Next |
E544350
|
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: You’re Next | Statement: [Keith Calder, produced, You’re Next]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You’re Next Context triple: [Keith Calder, produced, You’re Next]
-
A.
You’re Next
chosen
"You’re Next" is a 2011 home-invasion horror film known for its dark humor, inventive kills, and twist on the final-girl trope.
-
B.
Don’t Breathe
Don’t Breathe is a 2016 American horror-thriller film about a group of burglars who become trapped in the home of a blind but deadly man.
-
C.
Blood Will Out
Blood Will Out is a nonfiction true-crime memoir by Walter Kirn about his friendship with a con artist who posed as a Rockefeller and was later convicted of murder.
-
D.
It Comes at Night
It Comes at Night is a 2017 psychological horror film about a family struggling to survive a mysterious, deadly contagion in an isolated house.
-
E.
The Final Girls
The Final Girls is a 2015 horror-comedy film that parodies 1980s slasher movies by trapping its characters inside a classic cult slasher film.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a16acc8190be9ed181c7a44def |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.