Triple
T2351245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midsommar |
E47452
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dani Ardor |
E48962
|
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: Dani Ardor | Statement: [Midsommar, mainCharacter, Dani Ardor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Ardor Context triple: [Midsommar, mainCharacter, Dani Ardor]
-
A.
Dani Ardor
chosen
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
-
B.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
C.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
D.
Alaior
Alaior is a historic inland town and municipality on the Spanish island of Menorca, known for its traditional architecture and local cheese production.
-
E.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962f769881909a7713880eaa9b84 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.