Triple
T20255736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amelia Vanek |
E498696
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The Babadook |
—
|
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: The Babadook | Statement: [Amelia Vanek, appearsIn, The Babadook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Babadook Context triple: [Amelia Vanek, appearsIn, The Babadook]
-
A.
The Babadook
chosen
The Babadook is a 2014 Australian psychological horror film about a grieving mother and her troubled son who are terrorized by a sinister entity emerging from a mysterious children's pop-up book.
-
B.
Vivarium
Vivarium is a 2019 science fiction psychological horror film in which a couple becomes trapped in a mysterious, labyrinthine suburban housing development.
-
C.
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.
-
D.
The Black Phone
The Black Phone is a horror short story by Joe Hill about a kidnapped boy who receives ghostly phone calls from the killer’s previous victims.
-
E.
Boogeyman
Boogeyman is a 2005 supernatural horror film about a man confronting the childhood monster he believes killed his father.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.