Triple

T14067817
Position Surface form Disambiguated ID Type / Status
Subject Aviva Kempner E338520 entity
Predicate spouse P13 FINISHED
Object Jonathan Kempner
Jonathan Kempner is an American lawyer and nonprofit executive best known for leading major housing and real estate industry organizations.
E1077356 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: Jonathan Kempner | Statement: [Aviva Kempner, spouse, Jonathan Kempner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Kempner
Context triple: [Aviva Kempner, spouse, Jonathan Kempner]
  • A. Jules Kasdin
    Jules Kasdin is a film industry figure best known as one of the founders of the production company The Ladd Company.
  • B. Will Kopelman
    Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • E. Jonathan Hadary
    Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
  • 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: Jonathan Kempner
Triple: [Aviva Kempner, spouse, Jonathan Kempner]
Generated description
Jonathan Kempner is an American lawyer and nonprofit executive best known for leading major housing and real estate industry organizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonathan Kempner
Target entity description: Jonathan Kempner is an American lawyer and nonprofit executive best known for leading major housing and real estate industry organizations.
  • A. Jules Kasdin
    Jules Kasdin is a film industry figure best known as one of the founders of the production company The Ladd Company.
  • B. Will Kopelman
    Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • E. Jonathan Hadary
    Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66aeff8819088239226bbe25fd5 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc17d16008190bfec11ba0c229aae completed May 7, 2026, 4:44 p.m.
NED2 Entity disambiguation (via description) batch_69fcc1fe9bb0819098aa2655330569cb completed May 7, 2026, 4:46 p.m.
Created at: April 9, 2026, 10:21 p.m.