Triple

T13977289
Position Surface form Disambiguated ID Type / Status
Subject Arnold Kopelson E336219 entity
Predicate familyName P18 FINISHED
Object Kopelson
Kopelson is a surname most notably associated with Arnold Kopelson, the American film producer known for acclaimed Hollywood movies.
 E1072779 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: Kopelson | Statement: [Arnold Kopelson, familyName, Kopelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kopelson
Context triple: [Arnold Kopelson, familyName, Kopelson]
  • A. Koppelman
    Koppelman is a surname most notably associated with American screenwriter, director, and producer Brian Koppelman.
  • B. Kupferberg
    Kupferberg is a small town in the Bavarian region of Germany, known for its historical charm and location within the Franconian landscape.
  • C. Kugler
    Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • D. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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: Kopelson
Triple: [Arnold Kopelson, familyName, Kopelson]
Generated description
Kopelson is a surname most notably associated with Arnold Kopelson, the American film producer known for acclaimed Hollywood movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kopelson
Target entity description: Kopelson is a surname most notably associated with Arnold Kopelson, the American film producer known for acclaimed Hollywood movies.
  • A. Koppelman
    Koppelman is a surname most notably associated with American screenwriter, director, and producer Brian Koppelman.
  • B. Kupferberg
    Kupferberg is a small town in the Bavarian region of Germany, known for its historical charm and location within the Franconian landscape.
  • C. Kugler
    Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
  • D. Kiesler
    Kiesler is the birth surname of Austrian-born Hollywood actress and inventor Hedy Lamarr.
  • E. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e1eb108190b3c0739b94556172 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5bff3b88190b5fcf3834e419b72 completed May 6, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69fba9af1e0c81908d4013410e76535a completed May 6, 2026, 8:50 p.m.
Created at: April 9, 2026, 10:18 p.m.