Triple

T13197681
Position Surface form Disambiguated ID Type / Status
Subject Ezra Edelman E314155 entity
Predicate sibling P363 FINISHED
Object Joshua Edelman
Joshua Edelman is a jazz pianist and composer known for his work blending traditional jazz with Latin and world music influences.
E1037939 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: Joshua Edelman | Statement: [Ezra Edelman, sibling, Joshua Edelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Edelman
Context triple: [Ezra Edelman, sibling, Joshua Edelman]
  • A. Matthew Weisman
    Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
  • B. Joshua Russaw
    Joshua Russaw is the son of American R&B singer Faith Evans and her former husband, music producer Todd Russaw.
  • C. Jason Blumenthal
    Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
  • D. Alex Shulman
    Alex Shulman is a person notable enough to be recognized as a bearer of the surname Shulman, though specific widely known biographical details are not clearly established.
  • E. Jared Kaplan
    Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
  • 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: Joshua Edelman
Triple: [Ezra Edelman, sibling, Joshua Edelman]
Generated description
Joshua Edelman is a jazz pianist and composer known for his work blending traditional jazz with Latin and world music influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joshua Edelman
Target entity description: Joshua Edelman is a jazz pianist and composer known for his work blending traditional jazz with Latin and world music influences.
  • A. Matthew Weisman
    Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
  • B. Joshua Russaw
    Joshua Russaw is the son of American R&B singer Faith Evans and her former husband, music producer Todd Russaw.
  • C. Jason Blumenthal
    Jason Blumenthal is an American film producer known for his work on a variety of Hollywood feature films, including the comedy-drama "Troop Zero."
  • D. Alex Shulman
    Alex Shulman is a person notable enough to be recognized as a bearer of the surname Shulman, though specific widely known biographical details are not clearly established.
  • E. Jared Kaplan
    Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c64290881909759ef3a281b6a68 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7305a8c108190aff4e4797370f3d3 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f731093b0481908fb1a7b3fa14c73e completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f73186da9081908cec946610d745df completed May 3, 2026, 11:29 a.m.
Created at: April 9, 2026, 9:16 p.m.