Triple
T11689303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Henriksen |
E277826
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Louise Lunde
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
|
E940780
|
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: Louise Lunde | Statement: [Lance Henriksen, spouse, Louise Lunde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Lunde Context triple: [Lance Henriksen, spouse, Louise Lunde]
-
A.
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.
-
B.
Louise Linder
Louise Linder was an American heiress to the Linder department store fortune who became known in part through her marriage to entertainment lawyer Lee Eastman and her family’s connections to the arts and music world.
-
C.
Vibeke Windeløv
Vibeke Windeløv is a Danish film producer best known for her long-time collaboration with director Lars von Trier on several acclaimed art-house films.
-
D.
Ingeborg Holm
Ingeborg Holm is a character in Thomas Mann’s novella "Tonio Kröger," representing part of the bourgeois world that shapes the protagonist’s conflicted feelings about art and ordinary life.
-
E.
Hanne Grotjord
Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
- 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: Louise Lunde Triple: [Lance Henriksen, spouse, Louise Lunde]
Generated description
Louise Lunde is known as the spouse of American character actor Lance Henriksen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louise Lunde Target entity description: Louise Lunde is known as the spouse of American character actor Lance Henriksen.
-
A.
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.
-
B.
Louise Linder
Louise Linder was an American heiress to the Linder department store fortune who became known in part through her marriage to entertainment lawyer Lee Eastman and her family’s connections to the arts and music world.
-
C.
Vibeke Windeløv
Vibeke Windeløv is a Danish film producer best known for her long-time collaboration with director Lars von Trier on several acclaimed art-house films.
-
D.
Ingeborg Holm
Ingeborg Holm is a character in Thomas Mann’s novella "Tonio Kröger," representing part of the bourgeois world that shapes the protagonist’s conflicted feelings about art and ordinary life.
-
E.
Hanne Grotjord
Hanne Grotjord is the wife of Norwegian politician and former Prime Minister Thorbjørn Jagland.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1451b4708190be9aa0439aface7a |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.