Triple

T12078105
Position Surface form Disambiguated ID Type / Status
Subject Don't Look Now E287603 entity
Predicate producer P490 FINISHED
Object Peter Katz
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
 E1035976 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: Peter Katz | Statement: [Don't Look Now, producer, Peter Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Katz
Context triple: [Don't Look Now, producer, Peter Katz]
  • A. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • B. Charles Katz
    Charles Katz was the defendant whose challenge to FBI wiretapping led to the landmark U.S. Supreme Court decision in Katz v. United States, which redefined Fourth Amendment protections for privacy.
  • C. Lewis Katz
    Lewis Katz was an American businessman, philanthropist, and co-owner of the Philadelphia Inquirer known for his major charitable contributions to education and medicine.
  • D. Daniel Katz
    Daniel Katz is an environmental activist and social entrepreneur best known for co-founding the Rainforest Alliance, a leading international conservation and sustainability organization.
  • E. Daniel Katz
    Daniel Katz is a cinematographer known for his work on the darkly comedic horror film "Come to Daddy."
  • 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: Peter Katz
Triple: [Don't Look Now, producer, Peter Katz]
Generated description
Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Katz
Target entity description: Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
  • A. Don Katz
    Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
  • B. Charles Katz
    Charles Katz was the defendant whose challenge to FBI wiretapping led to the landmark U.S. Supreme Court decision in Katz v. United States, which redefined Fourth Amendment protections for privacy.
  • C. Lewis Katz
    Lewis Katz was an American businessman, philanthropist, and co-owner of the Philadelphia Inquirer known for his major charitable contributions to education and medicine.
  • D. Daniel Katz
    Daniel Katz is an environmental activist and social entrepreneur best known for co-founding the Rainforest Alliance, a leading international conservation and sustainability organization.
  • E. Daniel Katz
    Daniel Katz is a cinematographer known for his work on the darkly comedic horror film "Come to Daddy."
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726570a2481909f417be6e38d283a completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f726e03c4081908a0a07729eb30906 completed May 3, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69f727d063c4819084b4990a0d759f79 completed May 3, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:48 p.m.