Triple

T11285800
Position Surface form Disambiguated ID Type / Status
Subject Walter Momper E267182 entity
Predicate familyName P18 FINISHED
Object Momper
Momper is a German surname most notably associated with Walter Momper, a prominent Social Democratic politician and former Governing Mayor of Berlin.
 E915472 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: Momper | Statement: [Walter Momper, familyName, Momper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Momper
Context triple: [Walter Momper, familyName, Momper]
  • A. Mams
    Mams is a commonly used nickname for Mamelodi, a large township northeast of Pretoria in South Africa.
  • B. La MaMa
    La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
  • C. Mama Warerkar
    Mama Warerkar was a prominent Marathi playwright known for his influential contributions to early 20th-century Marathi theatre.
  • D. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • E. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • 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: Momper
Triple: [Walter Momper, familyName, Momper]
Generated description
Momper is a German surname most notably associated with Walter Momper, a prominent Social Democratic politician and former Governing Mayor of Berlin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Momper
Target entity description: Momper is a German surname most notably associated with Walter Momper, a prominent Social Democratic politician and former Governing Mayor of Berlin.
  • A. Mams
    Mams is a commonly used nickname for Mamelodi, a large township northeast of Pretoria in South Africa.
  • B. La MaMa
    La MaMa is a renowned Off-Off-Broadway experimental theater in New York City known for fostering avant-garde performance and emerging artists.
  • C. Mama Warerkar
    Mama Warerkar was a prominent Marathi playwright known for his influential contributions to early 20th-century Marathi theatre.
  • D. Mommens
    Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
  • E. MOM
    MOM is a post-nominal abbreviation used in Canada to denote a Member of the Order of Merit of the Police Forces, an honor recognizing exceptional service and leadership in policing.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff6b7d248190b4dd885280e09a8e completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.