Triple
T433334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Lame |
E9759
|
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: [Jennifer Lame, notableWork, Midsommar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midsommar Context triple: [Jennifer Lame, 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.
Crimson Peak
Crimson Peak is a 2015 gothic romance horror film directed by Guillermo del Toro, known for its lavish Victorian production design, ghostly atmosphere, and twisted family drama.
-
C.
Black Sunday
Black Sunday was a catastrophic 1935 dust storm during the Dust Bowl that turned daytime skies black and became one of the era’s most infamous environmental disasters.
-
D.
Don’t Worry Darling
Don’t Worry Darling is a 2022 psychological thriller film directed by Olivia Wilde, known for its stylish 1950s-inspired setting and Florence Pugh’s acclaimed lead performance.
-
E.
Pet Sematary
Pet Sematary is a horror novel by Stephen King about a burial ground with the power to resurrect the dead, leading to terrifying consequences for a grieving family.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ef084840819080653004b674cba8 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431e395208190ab4d4d1c10c117f7 |
completed | March 1, 2026, 12:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.