Triple
T15215666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neusiedl am See |
E363630
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Elisabeth Böhm
Elisabeth Böhm is an Austrian local politician who serves as the mayor of the town of Neusiedl am See.
|
E1150395
|
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: Elisabeth Böhm | Statement: [Neusiedl am See, hasMayor, Elisabeth Böhm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisabeth Böhm Context triple: [Neusiedl am See, hasMayor, Elisabeth Böhm]
-
A.
Elisabeth Böhm
Elisabeth Böhm was the dedicatee of Robert Schumann’s song cycle "Liederkreis, Op. 39," indicating her significance within the composer’s personal or artistic circle.
-
B.
Katharina Böhm
Katharina Böhm is an Austrian actress known for her roles in European film and television, including crime and drama series.
-
C.
Elisabeth Fuchs
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
-
D.
Elisabeth Röhm
Elisabeth Röhm is a German-American actress best known for her role as Assistant District Attorney Serena Southerlyn on the television series "Law & Order."
-
E.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
- 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: Elisabeth Böhm Triple: [Neusiedl am See, hasMayor, Elisabeth Böhm]
Generated description
Elisabeth Böhm is an Austrian local politician who serves as the mayor of the town of Neusiedl am See.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elisabeth Böhm Target entity description: Elisabeth Böhm is an Austrian local politician who serves as the mayor of the town of Neusiedl am See.
-
A.
Elisabeth Böhm
Elisabeth Böhm was the dedicatee of Robert Schumann’s song cycle "Liederkreis, Op. 39," indicating her significance within the composer’s personal or artistic circle.
-
B.
Katharina Böhm
Katharina Böhm is an Austrian actress known for her roles in European film and television, including crime and drama series.
-
C.
Elisabeth Fuchs
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
-
D.
Elisabeth Röhm
Elisabeth Röhm is a German-American actress best known for her role as Assistant District Attorney Serena Southerlyn on the television series "Law & Order."
-
E.
Eleonore Kohl
Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef88f8ac881908ca32de44b5aa53a |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefce7de4881909bed29d98e4c82ce |
completed | May 9, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefdaebcf481909bddf548508e32ba |
completed | May 9, 2026, 9:26 a.m. |
Created at: April 10, 2026, 3:11 a.m.