Triple
T21303313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Meadows |
E525123
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Scare Campaign |
—
|
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: Scare Campaign | Statement: [Ian Meadows, notableWork, Scare Campaign]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scare Campaign Context triple: [Ian Meadows, notableWork, Scare Campaign]
-
A.
Scare Campaign
chosen
Scare Campaign is an Australian horror film that blends found-footage and slasher elements, following a prank TV show whose crew becomes the target of a deadly real-life threat.
-
B.
Scare Package
Scare Package is a 2019 horror-comedy anthology film that parodies and pays homage to classic horror movie tropes.
-
C.
Scare Tactics
Scare Tactics is a hidden-camera prank television series that stages elaborate horror-themed scares on unsuspecting participants.
-
D.
Dare to Be Scared
Dare to Be Scared is a children's horror short story collection by Robert D. San Souci known for its spooky, suspenseful tales and twist endings.
-
E.
Getting Scared
"Getting Scared" is a song by British singer-songwriter iMegaphone, known for its dark, edgy alternative pop sound.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385da340819083c07f353f2142b0 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.