Triple
T1853151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oskar Schlemmer |
E41640
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helene Tutein
Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
|
E221052
|
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: Helene Tutein | Statement: [Oskar Schlemmer, spouse, Helene Tutein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helene Tutein Context triple: [Oskar Schlemmer, spouse, Helene Tutein]
-
A.
Hélène Courtois
Hélène Courtois is a French astrophysicist known for her work in cosmography and for leading the team that identified and mapped the Laniakea Supercluster of galaxies.
-
B.
Hélène Gordon-Lazareff
Hélène Gordon-Lazareff was a French journalist best known as the influential founder of the women’s magazine Elle.
-
C.
Eliette Mouret
Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
-
D.
Andrée Fort
Andrée Fort was the wife of French Post-Impressionist painter and writer Émile Bernard.
-
E.
Aurélia Thierrée
Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
- 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: Helene Tutein Triple: [Oskar Schlemmer, spouse, Helene Tutein]
Generated description
Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helene Tutein Target entity description: Helene Tutein was the wife of German painter, sculptor, and Bauhaus teacher Oskar Schlemmer.
-
A.
Hélène Courtois
Hélène Courtois is a French astrophysicist known for her work in cosmography and for leading the team that identified and mapped the Laniakea Supercluster of galaxies.
-
B.
Hélène Gordon-Lazareff
Hélène Gordon-Lazareff was a French journalist best known as the influential founder of the women’s magazine Elle.
-
C.
Eliette Mouret
Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
-
D.
Andrée Fort
Andrée Fort was the wife of French Post-Impressionist painter and writer Émile Bernard.
-
E.
Aurélia Thierrée
Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06999f4819086386aafb789a368 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030a0d3081908641c4a40e5b7700 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae037591a881908b353e0e8a8cc7ce |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae03d69c808190810ca1de51552e8c |
completed | March 8, 2026, 11:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.