Triple
T9434309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herford |
E227462
|
entity |
| Predicate | hasMuseum |
P105
|
FINISHED |
| Object |
Marta Herford
Marta Herford is a contemporary art museum in Herford, Germany, known for its distinctive architecture and focus on modern and contemporary design and visual arts.
|
E804735
|
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: Marta Herford | Statement: [Herford, hasMuseum, Marta Herford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marta Herford Context triple: [Herford, hasMuseum, Marta Herford]
-
A.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
B.
Marianne Willisch
Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
-
C.
Lisa Brühlmann
Lisa Brühlmann is a Swiss film and television director and screenwriter known for her work on acclaimed series such as "The Girl Before" and "Killing Eve."
-
D.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
E.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
- 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: Marta Herford Triple: [Herford, hasMuseum, Marta Herford]
Generated description
Marta Herford is a contemporary art museum in Herford, Germany, known for its distinctive architecture and focus on modern and contemporary design and visual arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marta Herford Target entity description: Marta Herford is a contemporary art museum in Herford, Germany, known for its distinctive architecture and focus on modern and contemporary design and visual arts.
-
A.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
B.
Marianne Willisch
Marianne Willisch is an artist and designer associated with the New Bauhaus movement in Chicago.
-
C.
Lisa Brühlmann
Lisa Brühlmann is a Swiss film and television director and screenwriter known for her work on acclaimed series such as "The Girl Before" and "Killing Eve."
-
D.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
E.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14be965e881909acda0a2df1b24b3 |
completed | April 4, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69d14ca535588190aa2ff77f0658226b |
completed | April 4, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d29d32c8190a8615b3450492abc |
completed | April 4, 2026, 5:40 p.m. |
Created at: March 30, 2026, 7:49 p.m.