Triple

T23442560
Position Surface form Disambiguated ID Type / Status
Subject H. Jon Benjamin E565441 entity
Predicate voiceRole P12691 FINISHED
Object Ben Katz
Ben Katz is a neurotic, deadpan teenage character from the animated sitcom "Dr. Katz, Professional Therapist," known for his sarcastic humor and awkward interactions with his father.
 E1585472 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: Ben Katz | Statement: [H. Jon Benjamin, voiceRole, Ben Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ben Katz
Context triple: [H. Jon Benjamin, voiceRole, Ben Katz]
  • A. Ross Katz
    Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
  • B. Jason Katz
    Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
  • C. Dave Katz
    Dave Katz is an American songwriter and record producer best known as part of the production duo S*A*M & Sluggo, who have worked with numerous pop and rock artists.
  • D. Todd Katzberg
    Todd Katzberg is a television writer and producer best known for co-creating the CIA thriller series "Condor."
  • E. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • 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: Ben Katz
Triple: [H. Jon Benjamin, voiceRole, Ben Katz]
Generated description
Ben Katz is a neurotic, deadpan teenage character from the animated sitcom "Dr. Katz, Professional Therapist," known for his sarcastic humor and awkward interactions with his father.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ben Katz
Target entity description: Ben Katz is a neurotic, deadpan teenage character from the animated sitcom "Dr. Katz, Professional Therapist," known for his sarcastic humor and awkward interactions with his father.
  • A. Ross Katz
    Ross Katz is an American film producer and director known for his work on acclaimed independent films such as "Lost in Translation."
  • B. Jason Katz
    Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
  • C. Dave Katz
    Dave Katz is an American songwriter and record producer best known as part of the production duo S*A*M & Sluggo, who have worked with numerous pop and rock artists.
  • D. Todd Katzberg
    Todd Katzberg is a television writer and producer best known for co-creating the CIA thriller series "Condor."
  • E. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b583fc8190941de49b824f9c98 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:51 p.m.