Triple
T9397124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antichrist |
E226170
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Kristen Hydén
Kristen Hydén is a composer known for creating the score for the Danish horror film "Antichrist."
|
E796878
|
NE FINISHED |
How this triple was built (4 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: Kristen Hydén | Statement: [Antichrist, composer, Kristen Hydén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Hydén Context triple: [Antichrist, composer, Kristen Hydén]
-
A.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
-
B.
Anette Brifalk
Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
-
C.
Mina Sundwall
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
D.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
E.
Kikki Danielsson
Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kristen Hydén Triple: [Antichrist, composer, Kristen Hydén]
Generated description
Kristen Hydén is a composer known for creating the score for the Danish horror film "Antichrist."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristen Hydén Target entity description: Kristen Hydén is a composer known for creating the score for the Danish horror film "Antichrist."
-
A.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
-
B.
Anette Brifalk
Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
-
C.
Mina Sundwall
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
D.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
E.
Kikki Danielsson
Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
- F. None of above. chosen
Provenance (5 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1054d18ec8190b88dc95f785a370a |
completed | April 4, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d105b7570481909f90b7588e210667 |
completed | April 4, 2026, 12:36 p.m. |
Created at: March 30, 2026, 7:46 p.m.