Triple

T16497233
Position Surface form Disambiguated ID Type / Status
Subject Walter Reisch E400715 entity
Predicate familyName P18 FINISHED
Object Reisch
Reisch is a surname of Germanic origin borne by various notable individuals in fields such as film, politics, and academia.
E1217123 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: Reisch | Statement: [Walter Reisch, familyName, Reisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reisch
Context triple: [Walter Reisch, familyName, Reisch]
  • A. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • B. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • C. Reubell
    Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
  • D. Reichel
    Reichel is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
  • E. Wesselmann
    Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
  • 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: Reisch
Triple: [Walter Reisch, familyName, Reisch]
Generated description
Reisch is a surname of Germanic origin borne by various notable individuals in fields such as film, politics, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Reisch
Target entity description: Reisch is a surname of Germanic origin borne by various notable individuals in fields such as film, politics, and academia.
  • A. Eisenhauer
    Eisenhauer is a German-origin surname best known as the ancestral form of the name borne by U.S. President Dwight D. Eisenhower.
  • B. Schultheiss
    Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
  • C. Reubell
    Reubell is a French surname most notably associated with Jean-François Reubell, a prominent political figure during the French Revolution and a member of the Directory.
  • D. Reichel
    Reichel is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
  • E. Wesselmann
    Wesselmann is a surname most notably associated with Tom Wesselmann, a prominent American Pop Art painter known for his bold, stylized depictions of the nude and everyday consumer objects.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e343a7c81909e04cbaaa40e2531 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582a316c81908ec32679c976ba23 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0058d08f048190b83d3fb69ba8a2c3 completed May 10, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0059b5a1f8819089caefc121246739 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:14 a.m.