Triple

T9168213
Position Surface form Disambiguated ID Type / Status
Subject Hessel Museum of Art E220017 entity
Predicate namedAfter P63 FINISHED
Object Marieluise Hessel
Marieluise Hessel is an art collector and philanthropist known for her significant contemporary art collection and support of the Hessel Museum of Art.
 E788520 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: Marieluise Hessel | Statement: [Hessel Museum of Art, namedAfter, Marieluise Hessel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marieluise Hessel
Context triple: [Hessel Museum of Art, namedAfter, Marieluise Hessel]
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Dorothea Mies
    Dorothea Mies is a woman known primarily as the daughter of Adele Auguste Bruhn.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Anna Wimschneider
    Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
  • E. Cornelia Seibeld
    Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
  • 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: Marieluise Hessel
Triple: [Hessel Museum of Art, namedAfter, Marieluise Hessel]
Generated description
Marieluise Hessel is an art collector and philanthropist known for her significant contemporary art collection and support of the Hessel Museum of Art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marieluise Hessel
Target entity description: Marieluise Hessel is an art collector and philanthropist known for her significant contemporary art collection and support of the Hessel Museum of Art.
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Dorothea Mies
    Dorothea Mies is a woman known primarily as the daughter of Adele Auguste Bruhn.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Anna Wimschneider
    Anna Wimschneider was a German farmer and autobiographical writer best known for her memoir "Herbstmilch," which depicts her impoverished rural upbringing and life in early 20th-century Bavaria.
  • E. Cornelia Seibeld
    Cornelia Seibeld is a German politician who serves as the President (speaker) of the Berlin state parliament, the Abgeordnetenhaus von Berlin.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b7f95f88190af9c88105abb2964 completed April 4, 2026, 5:02 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:22 p.m.