Triple
T1271279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Jones |
E15713
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anna Söderström
Anna Söderström is the Swedish partner and later wife of Monty Python member Terry Jones, known for their long-term relationship and family life together.
|
E148487
|
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: Anna Söderström | Statement: [Terry Jones, spouse, Anna Söderström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Söderström Context triple: [Terry Jones, spouse, Anna Söderström]
-
A.
Viveca Lindfors
Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
-
B.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
C.
Eva Nansen
Eva Nansen was a renowned Norwegian mezzo-soprano and pioneering women's skiing advocate in the late 19th century.
-
D.
Viveca Paulin
Viveca Paulin is a Swedish-born art auctioneer and producer best known as the longtime wife of comedian and actor Will Ferrell.
-
E.
Hanna Alström
Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
- 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: Anna Söderström Triple: [Terry Jones, spouse, Anna Söderström]
Generated description
Anna Söderström is the Swedish partner and later wife of Monty Python member Terry Jones, known for their long-term relationship and family life together.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Söderström Target entity description: Anna Söderström is the Swedish partner and later wife of Monty Python member Terry Jones, known for their long-term relationship and family life together.
-
A.
Viveca Lindfors
Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
-
B.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
C.
Eva Nansen
Eva Nansen was a renowned Norwegian mezzo-soprano and pioneering women's skiing advocate in the late 19th century.
-
D.
Viveca Paulin
Viveca Paulin is a Swedish-born art auctioneer and producer best known as the longtime wife of comedian and actor Will Ferrell.
-
E.
Hanna Alström
Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2fd091081908f4a60d7ce300c90 |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb364f2d88190b20ad87001349562 |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb3ce7720819095558536e0a978b8 |
completed | March 7, 2026, 11:25 p.m. |
Created at: March 1, 2026, 7:50 p.m.