Triple
T13518318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bille August |
E322824
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sigrid Horne-Rasmussen
Sigrid Horne-Rasmussen was a Danish actress known for her work in mid-20th-century Danish cinema and theatre.
|
E1045403
|
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: Sigrid Horne-Rasmussen | Statement: [Bille August, spouse, Sigrid Horne-Rasmussen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigrid Horne-Rasmussen Context triple: [Bille August, spouse, Sigrid Horne-Rasmussen]
-
A.
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
-
B.
Marie Serneholt
Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
-
C.
Carmen Rasmusen
Carmen Rasmusen is a Canadian-American country singer and actress who gained national recognition as a teenage finalist on the second season of American Idol.
-
D.
Kristina Tholstrup
Kristina Tholstrup is a Swedish socialite best known as the widow of James Bond actor Sir Roger Moore.
-
E.
Camilla Horn
Camilla Horn was a German actress best known for her roles in silent and early sound films of the 1920s and 1930s, particularly in European cinema.
- 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: Sigrid Horne-Rasmussen Triple: [Bille August, spouse, Sigrid Horne-Rasmussen]
Generated description
Sigrid Horne-Rasmussen was a Danish actress known for her work in mid-20th-century Danish cinema and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sigrid Horne-Rasmussen Target entity description: Sigrid Horne-Rasmussen was a Danish actress known for her work in mid-20th-century Danish cinema and theatre.
-
A.
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
-
B.
Marie Serneholt
Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
-
C.
Carmen Rasmusen
Carmen Rasmusen is a Canadian-American country singer and actress who gained national recognition as a teenage finalist on the second season of American Idol.
-
D.
Kristina Tholstrup
Kristina Tholstrup is a Swedish socialite best known as the widow of James Bond actor Sir Roger Moore.
-
E.
Camilla Horn
Camilla Horn was a German actress best known for her roles in silent and early sound films of the 1920s and 1930s, particularly in European cinema.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75498153c819096a28a7f0b608ff5 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7565846108190bb6550505af8ac5d |
completed | May 3, 2026, 2:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75a2107e081909fd00af67938f2e9 |
completed | May 3, 2026, 2:22 p.m. |
Created at: April 9, 2026, 9:44 p.m.