Triple
T11019494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béla Bartók |
E260447
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Márta Ziegler
Márta Ziegler was the first wife of Hungarian composer Béla Bartók, with whom she shared a significant period of his early life and career.
|
E899663
|
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: Márta Ziegler | Statement: [Béla Bartók, spouse, Márta Ziegler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Márta Ziegler Context triple: [Béla Bartók, spouse, Márta Ziegler]
-
A.
Márta Eggerth
Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
-
B.
Hedwig Miklas
Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
-
C.
Zsuzsa Feigl
Zsuzsa Feigl is a Hungarian mathematician known for her contributions to probability theory and stochastic processes.
-
D.
Gertrud Maschka
Gertrud Maschka was the wife of Austrian Nazi politician and war criminal Arthur Seyss-Inquart.
-
E.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
- 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: Márta Ziegler Triple: [Béla Bartók, spouse, Márta Ziegler]
Generated description
Márta Ziegler was the first wife of Hungarian composer Béla Bartók, with whom she shared a significant period of his early life and career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Márta Ziegler Target entity description: Márta Ziegler was the first wife of Hungarian composer Béla Bartók, with whom she shared a significant period of his early life and career.
-
A.
Márta Eggerth
Márta Eggerth was a Hungarian-born soprano and film actress renowned for her operetta performances in Europe and Hollywood during the 1930s and 1940s.
-
B.
Hedwig Miklas
Hedwig Miklas was the wife of Austrian President Wilhelm Miklas and served as Austria’s First Lady during his tenure in office.
-
C.
Zsuzsa Feigl
Zsuzsa Feigl is a Hungarian mathematician known for her contributions to probability theory and stochastic processes.
-
D.
Gertrud Maschka
Gertrud Maschka was the wife of Austrian Nazi politician and war criminal Arthur Seyss-Inquart.
-
E.
Gunta Stölzl
Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a9e8788190a0f45b52bad1bfb5 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.