Triple
T8715634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andersen |
E206886
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lene Andersen
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
|
E753926
|
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: Lene Andersen | Statement: [Andersen, hasNotableBearer, Lene Andersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lene Andersen Context triple: [Andersen, hasNotableBearer, Lene Andersen]
-
A.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
B.
Regine Olsen
Regine Olsen was a 19th-century Danish woman best known as the fiancée and muse of philosopher Søren Kierkegaard, whose broken engagement to her profoundly shaped his life and writings.
-
C.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
D.
Hanne Jacobsen
Hanne Jacobsen is a Danish choreographer and former dancer best known as the longtime wife of actor Mads Mikkelsen.
-
E.
Thilde Benz
Thilde Benz was one of the children of German engineer and automobile pioneer Karl Benz.
- 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: Lene Andersen Triple: [Andersen, hasNotableBearer, Lene Andersen]
Generated description
Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lene Andersen Target entity description: Lene Andersen is a Danish author and futurist known for her work on democracy, ethics, and societal development.
-
A.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
B.
Regine Olsen
Regine Olsen was a 19th-century Danish woman best known as the fiancée and muse of philosopher Søren Kierkegaard, whose broken engagement to her profoundly shaped his life and writings.
-
C.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
D.
Hanne Jacobsen
Hanne Jacobsen is a Danish choreographer and former dancer best known as the longtime wife of actor Mads Mikkelsen.
-
E.
Thilde Benz
Thilde Benz was one of the children of German engineer and automobile pioneer Karl Benz.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd807cc819090b58caf285b397a |
completed | March 31, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28d62af88190acf2d8692d73b9f5 |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd222b08190907ba7e98991996e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2fcb5e7c819086b441d1ef4fc368 |
completed | April 3, 2026, 3:11 a.m. |
Created at: March 30, 2026, 6:35 p.m.