Triple
T9064787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf Loos |
E217217
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lina Loos
Lina Loos was an Austrian actress and writer associated with Vienna’s early 20th-century cultural scene and known for her marriage to architect Adolf Loos.
|
E777290
|
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: Lina Loos | Statement: [Adolf Loos, spouse, Lina Loos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lina Loos Context triple: [Adolf Loos, spouse, Lina Loos]
-
A.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
B.
Helene Moos
Helene Moos was the mother of Hermann Einstein and thus the paternal grandmother of physicist Albert Einstein.
-
C.
Lotte Walter
Lotte Walter was the daughter of renowned German-born conductor and composer Bruno Walter.
-
D.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
E.
Lilli Palmer
Lilli Palmer was a German-born British actress and singer renowned for her sophisticated performances in European and Hollywood films and on stage from the 1930s through the 1970s.
- 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: Lina Loos Triple: [Adolf Loos, spouse, Lina Loos]
Generated description
Lina Loos was an Austrian actress and writer associated with Vienna’s early 20th-century cultural scene and known for her marriage to architect Adolf Loos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lina Loos Target entity description: Lina Loos was an Austrian actress and writer associated with Vienna’s early 20th-century cultural scene and known for her marriage to architect Adolf Loos.
-
A.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
B.
Helene Moos
Helene Moos was the mother of Hermann Einstein and thus the paternal grandmother of physicist Albert Einstein.
-
C.
Lotte Walter
Lotte Walter was the daughter of renowned German-born conductor and composer Bruno Walter.
-
D.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
E.
Lilli Palmer
Lilli Palmer was a German-born British actress and singer renowned for her sophisticated performances in European and Hollywood films and on stage from the 1930s through the 1970s.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bb26588190b7d6f2d70819e86f |
completed | April 1, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017a3926881909140f59c60ec3588 |
completed | April 3, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69d01908d7b08190ab159048f25924d5 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019b9be10819091e25d5b3a8d26c1 |
completed | April 3, 2026, 7:49 p.m. |
Created at: March 30, 2026, 7:11 p.m.