Triple
T13484525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Stott |
E318459
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nina Gehl
Nina Gehl is a British jazz and soul singer known for her live performances and for being married to Scottish actor Ken Stott.
|
E1055453
|
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: Nina Gehl | Statement: [Ken Stott, spouse, Nina Gehl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Gehl Context triple: [Ken Stott, spouse, Nina Gehl]
-
A.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
B.
Laura Holmgren
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
-
C.
Caroline Smedvig
Caroline Smedvig is an American public relations professional and former Boston Symphony Orchestra staff member best known as the wife of singer-songwriter James Taylor.
-
D.
Sara Lumholdt
Sara Lumholdt is a Swedish pop singer best known as a vocalist in the teen pop group A-Teens, which rose to fame in the late 1990s and early 2000s.
-
E.
Tina Christensen
Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
- 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: Nina Gehl Triple: [Ken Stott, spouse, Nina Gehl]
Generated description
Nina Gehl is a British jazz and soul singer known for her live performances and for being married to Scottish actor Ken Stott.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nina Gehl Target entity description: Nina Gehl is a British jazz and soul singer known for her live performances and for being married to Scottish actor Ken Stott.
-
A.
Nina Eichinger
Nina Eichinger is a German television presenter and actress known for her work on various entertainment and music programs.
-
B.
Laura Holmgren
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
-
C.
Caroline Smedvig
Caroline Smedvig is an American public relations professional and former Boston Symphony Orchestra staff member best known as the wife of singer-songwriter James Taylor.
-
D.
Sara Lumholdt
Sara Lumholdt is a Swedish pop singer best known as a vocalist in the teen pop group A-Teens, which rose to fame in the late 1990s and early 2000s.
-
E.
Tina Christensen
Tina Christensen is a Danish film editor and translator known for her work subtitling and editing a wide range of international films.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942424bc8190af98462f6b7a93a4 |
completed | May 3, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:42 p.m.