Triple
T12373726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Andrée |
E295066
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ellen Andrée |
E295066
|
NE FINISHED |
How this triple was built (2 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: Ellen Andrée | Statement: [Ellen Andrée, name, Ellen Andrée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Andrée Context triple: [Ellen Andrée, name, Ellen Andrée]
-
A.
Ellen Andrée
chosen
Ellen Andrée was a French actress and artists’ model of the late 19th century, known for posing for prominent Impressionist painters such as Edgar Degas and Édouard Manet.
-
B.
Marietta Lutze
Marietta Lutze was the wife of American psychiatrist, art collector, and philanthropist Arthur M. Sackler.
-
C.
Marie Selland
Marie Selland was the first wife of American film director Sam Peckinpah, known primarily in relation to his early personal life.
-
D.
Martha Nielsen
Martha Nielsen is a central character in the German sci-fi thriller series "Dark," whose complex relationships and time-travel entanglements are pivotal to the show's overarching mystery.
-
E.
Marie Andersen
Marie Andersen was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a significant figure in his personal and literary life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.