Triple

T23267466
Position Surface form Disambiguated ID Type / Status
Subject Jerry Belson E588190 entity
Predicate familyName P18 FINISHED
Object Belson
Belson is a surname most notably associated with American writer, director, and producer Jerry Belson, known for his work in film and television comedy.
 E1578360 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: Belson | Statement: [Jerry Belson, familyName, Belson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belson
Context triple: [Jerry Belson, familyName, Belson]
  • A. Belfer
    Belfer is a surname most prominently associated with American businessman and philanthropist Robert A. Belfer.
  • B. Bouhler
    Bouhler is a German surname most notably associated with Philipp Bouhler, a high-ranking Nazi official and close associate of Adolf Hitler.
  • C. Berdan
    Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
  • D. Berylson
    Berylson is a surname most notably associated with American businessman and football club owner John Berylson.
  • E. Bosland
    Bosland is a large forest and nature reserve in the Belgian province of Limburg, known for its extensive woodlands, cycling routes, and outdoor recreation.
  • 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: Belson
Triple: [Jerry Belson, familyName, Belson]
Generated description
Belson is a surname most notably associated with American writer, director, and producer Jerry Belson, known for his work in film and television comedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belson
Target entity description: Belson is a surname most notably associated with American writer, director, and producer Jerry Belson, known for his work in film and television comedy.
  • A. Belfer
    Belfer is a surname most prominently associated with American businessman and philanthropist Robert A. Belfer.
  • B. Bouhler
    Bouhler is a German surname most notably associated with Philipp Bouhler, a high-ranking Nazi official and close associate of Adolf Hitler.
  • C. Berdan
    Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
  • D. Berylson
    Berylson is a surname most notably associated with American businessman and football club owner John Berylson.
  • E. Lemnitzer
    Lemnitzer is a surname most notably associated with Lyman L. Lemnitzer, a U.S. Army general who served as Chairman of the Joint Chiefs of Staff and NATO’s Supreme Allied Commander Europe.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19570fcc0819091df22140828155b completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7451b08190ac86309ede7d8cd6 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405ca9e081908adeedd69acb8ed2 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c443c4540819096f1a41d9c24a706 completed May 19, 2026, 11:06 a.m.
Created at: April 17, 2026, 4:38 p.m.