Triple

T12972335
Position Surface form Disambiguated ID Type / Status
Subject Peter Zinner E321430 entity
Predicate familyName P18 FINISHED
Object Zinner
Zinner is a surname most notably associated with Austrian-American film editor Peter Zinner, known for his work on classic Hollywood films.
E1012276 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: Zinner | Statement: [Peter Zinner, familyName, Zinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinner
Context triple: [Peter Zinner, familyName, Zinner]
  • A. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • B. Rizo
    Rizo is a small settlement within the Municipality of Missolonghi in western Greece.
  • C. Zinger
    Zinger is a variant of the Singer brand name, best known for its sewing machines and related household products.
  • D. Zerbe
    Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
  • E. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • 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: Zinner
Triple: [Peter Zinner, familyName, Zinner]
Generated description
Zinner is a surname most notably associated with Austrian-American film editor Peter Zinner, known for his work on classic Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zinner
Target entity description: Zinner is a surname most notably associated with Austrian-American film editor Peter Zinner, known for his work on classic Hollywood films.
  • A. Zuiker
    Zuiker is the surname of Anthony E. Zuiker, the American television writer and producer best known as the creator of the CSI franchise.
  • B. Rizo
    Rizo is a small settlement within the Municipality of Missolonghi in western Greece.
  • C. Zinger
    Zinger is a variant of the Singer brand name, best known for its sewing machines and related household products.
  • D. Zerbe
    Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
  • E. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ea91f08190b1daf6d05621acf9 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a29ae481908161749f2803664d completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6ba11e8448190856f184d3dfa9ac9 completed May 3, 2026, 2:59 a.m.
Created at: April 9, 2026, 8:36 p.m.