Triple

T12941916
Position Surface form Disambiguated ID Type / Status
Subject Joel Oppenheimer E309656 entity
Predicate hasChild P369 FINISHED
Object Daniel Oppenheimer
Daniel Oppenheimer is the son of American poet Joel Oppenheimer and is known as a writer and academic.
 E1011871 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: Daniel Oppenheimer | Statement: [Joel Oppenheimer, hasChild, Daniel Oppenheimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Oppenheimer
Context triple: [Joel Oppenheimer, hasChild, Daniel Oppenheimer]
  • A. Richard Wechsler
    Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
  • B. Daniel Julius Bernstein
    Daniel Julius Bernstein is an American mathematician, cryptographer, and computer scientist known for his influential work in lattice-based cryptography, elliptic-curve cryptography, and high-performance cryptographic software.
  • C. Daniel Melnick
    Daniel Melnick was an American film and television producer known for overseeing influential movies such as “Network,” “All That Jazz,” and “Altered States.”
  • D. Michael Berman
    Michael Berman is a writer and contributor known for his work published in George magazine.
  • E. Joseph Wechsler
    Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
  • 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: Daniel Oppenheimer
Triple: [Joel Oppenheimer, hasChild, Daniel Oppenheimer]
Generated description
Daniel Oppenheimer is the son of American poet Joel Oppenheimer and is known as a writer and academic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Oppenheimer
Target entity description: Daniel Oppenheimer is the son of American poet Joel Oppenheimer and is known as a writer and academic.
  • A. Richard Wechsler
    Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
  • B. Daniel Julius Bernstein
    Daniel Julius Bernstein is an American mathematician, cryptographer, and computer scientist known for his influential work in lattice-based cryptography, elliptic-curve cryptography, and high-performance cryptographic software.
  • C. Daniel Melnick
    Daniel Melnick was an American film and television producer known for overseeing influential movies such as “Network,” “All That Jazz,” and “Altered States.”
  • D. Michael Berman
    Michael Berman is a writer and contributor known for his work published in George magazine.
  • E. Joseph Wechsler
    Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dca2ee88190b45fafe7d53c35c9 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af70f45c8190a40250da4a787d8f completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b066f3888190b925e5a43be57965 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.