Triple

T16153929
Position Surface form Disambiguated ID Type / Status
Subject Morrie Ryskind E391985 entity
Predicate familyName P18 FINISHED
Object Ryskind
Ryskind is a surname most notably associated with Morrie Ryskind, the American playwright, screenwriter, and satirist linked to the Marx Brothers’ classic comedies.
E1197846 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: Ryskind | Statement: [Morrie Ryskind, familyName, Ryskind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryskind
Context triple: [Morrie Ryskind, familyName, Ryskind]
  • A. Rudolff
    Rudolff is a given name notably borne by Gerald Rudolff Ford Sr., the stepfather and namesake of U.S. President Gerald R. Ford.
  • B. Meyer-Lübke
    Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
  • C. Goldscheuer
    Goldscheuer is a district of the German town of Kehl in the state of Baden-Württemberg, located near the Rhine River and the French border.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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: Ryskind
Triple: [Morrie Ryskind, familyName, Ryskind]
Generated description
Ryskind is a surname most notably associated with Morrie Ryskind, the American playwright, screenwriter, and satirist linked to the Marx Brothers’ classic comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ryskind
Target entity description: Ryskind is a surname most notably associated with Morrie Ryskind, the American playwright, screenwriter, and satirist linked to the Marx Brothers’ classic comedies.
  • A. Rudolff
    Rudolff is a given name notably borne by Gerald Rudolff Ford Sr., the stepfather and namesake of U.S. President Gerald R. Ford.
  • B. Meyer-Lübke
    Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
  • C. Goldscheuer
    Goldscheuer is a district of the German town of Kehl in the state of Baden-Württemberg, located near the Rhine River and the French border.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff90570f0819087c96f33f8f45428 completed May 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fff99aadf081908050c2941c1e5f96 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:01 a.m.