Triple
T2516952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ari Aster |
E55433
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Midsommar |
E47452
|
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: Midsommar | Statement: [Ari Aster, notableWork, Midsommar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midsommar Context triple: [Ari Aster, notableWork, Midsommar]
-
A.
Midsommar
chosen
Midsommar is a 2019 folk horror film directed by Ari Aster that follows a troubled couple attending a sinister Swedish midsummer festival.
-
B.
Krampus
Krampus is a horned, demonic figure from Central European folklore who punishes misbehaving children during the Christmas season, often appearing alongside Saint Nicholas.
-
C.
The Witch
The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
-
D.
The Babadook
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.
-
E.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20f8d0c8190bfdcb99a12f59d59 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b9aa5cc81908c2e09ce18f2e98e |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.