Triple

T12860697
Position Surface form Disambiguated ID Type / Status
Subject Bedtime Story E307578 entity
Predicate director P255 FINISHED
Object Ralph Levy
Ralph Levy was a film and television director best known for his work on mid-20th-century American comedies, including the movie "Bedtime Story."
 E1128670 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: Ralph Levy | Statement: [Bedtime Story, director, Ralph Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ralph Levy
Context triple: [Bedtime Story, director, Ralph Levy]
  • A. Robert L. Levy
    Robert L. Levy is a film producer best known for his work on popular Hollywood comedies, including the hit movie "Wedding Crashers."
  • B. Thomas Levy
    Thomas Levy is the fictional graduate student and long-distance runner protagonist of William Goldman’s thriller novel "Marathon Man."
  • C. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • D. Ralph Stein
    Ralph Stein was an American cartoonist, illustrator, and author best known for his work on the comic strip "Popeye" and for his books on World War II and automobiles.
  • E. Marshall Lewy
    Marshall Lewy is a film and television producer and executive known for his work on projects such as the series "The Act."
  • 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: Ralph Levy
Triple: [Bedtime Story, director, Ralph Levy]
Generated description
Ralph Levy was a film and television director best known for his work on mid-20th-century American comedies, including the movie "Bedtime Story."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ralph Levy
Target entity description: Ralph Levy was a film and television director best known for his work on mid-20th-century American comedies, including the movie "Bedtime Story."
  • A. Robert L. Levy
    Robert L. Levy is a film producer best known for his work on popular Hollywood comedies, including the hit movie "Wedding Crashers."
  • B. Thomas Levy
    Thomas Levy is the fictional graduate student and long-distance runner protagonist of William Goldman’s thriller novel "Marathon Man."
  • C. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • D. Ralph Stein
    Ralph Stein was an American cartoonist, illustrator, and author best known for his work on the comic strip "Popeye" and for his books on World War II and automobiles.
  • E. Marshall Lewy
    Marshall Lewy is a film and television producer and executive known for his work on projects such as the series "The Act."
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e70dc788190850278a40a5a62e4 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe803875988190a4786db4ae0b0cbb completed May 9, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 9, 2026, 5:37 p.m.