Triple

T14351629
Position Surface form Disambiguated ID Type / Status
Subject Judging Amy E355865 entity
Predicate executiveProducer P7225 FINISHED
Object Allan Arkush
Allan Arkush is an American film and television director and producer best known for cult classic rock comedies like "Rock 'n' Roll High School" and his extensive work on episodic TV dramas.
E1123323 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: Allan Arkush | Statement: [Judging Amy, executiveProducer, Allan Arkush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Arkush
Context triple: [Judging Amy, executiveProducer, Allan Arkush]
  • A. Allan Kaufman
    Allan Kaufman is a film producer best known for his work on the crime-comedy movie "The Whole Nine Yards."
  • B. Arnold Manoff
    Arnold Manoff was an American screenwriter who worked in film and television and was blacklisted during the McCarthy era.
  • C. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • D. Glen Sobel
    Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
  • E. Aaron Kandell
    Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
  • 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: Allan Arkush
Triple: [Judging Amy, executiveProducer, Allan Arkush]
Generated description
Allan Arkush is an American film and television director and producer best known for cult classic rock comedies like "Rock 'n' Roll High School" and his extensive work on episodic TV dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Allan Arkush
Target entity description: Allan Arkush is an American film and television director and producer best known for cult classic rock comedies like "Rock 'n' Roll High School" and his extensive work on episodic TV dramas.
  • A. Allan Kaufman
    Allan Kaufman is a film producer best known for his work on the crime-comedy movie "The Whole Nine Yards."
  • B. Arnold Manoff
    Arnold Manoff was an American screenwriter who worked in film and television and was blacklisted during the McCarthy era.
  • C. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • D. Glen Sobel
    Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
  • E. Aaron Kandell
    Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e68118819082448393cc141d96 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe664fe96081908ca0923791bd212b completed May 8, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69fe66be64808190bab35f07d556d446 completed May 8, 2026, 10:42 p.m.
Created at: April 10, 2026, 1:14 a.m.