Triple

T6277090
Position Surface form Disambiguated ID Type / Status
Subject Weinberg E140687 entity
Predicate hasNotableBearer P458 FINISHED
Object David Weinberg
David Weinberg is a name shared by multiple notable individuals, including professionals in fields such as science, academia, and the arts.
 E583679 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: David Weinberg | Statement: [Weinberg, hasNotableBearer, David Weinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Weinberg
Context triple: [Weinberg, hasNotableBearer, David Weinberg]
  • A. Dan Goldberg
    Dan Goldberg is a film producer best known for his work on major Hollywood comedies, including the hit movie "The Hangover."
  • B. David Lanzenberg
    David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
  • C. Ali Weinberg
    Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
  • D. Richard Weil
    Richard Weil was a screenwriter active in early 20th-century American cinema, known for contributing to Hollywood comedies such as the 1942 film "Twin Beds."
  • E. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • 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: David Weinberg
Triple: [Weinberg, hasNotableBearer, David Weinberg]
Generated description
David Weinberg is a name shared by multiple notable individuals, including professionals in fields such as science, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Weinberg
Target entity description: David Weinberg is a name shared by multiple notable individuals, including professionals in fields such as science, academia, and the arts.
  • A. Dan Goldberg
    Dan Goldberg is a film producer best known for his work on major Hollywood comedies, including the hit movie "The Hangover."
  • B. David Lanzenberg
    David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
  • C. Ali Weinberg
    Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
  • D. Richard Weil
    Richard Weil was a screenwriter active in early 20th-century American cinema, known for contributing to Hollywood comedies such as the 1942 film "Twin Beds."
  • E. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e40844b48190837b75baaf8dabda completed March 27, 2026, 1:57 a.m.
NEDg Description generation batch_69c5e4af6b28819088158c50de820297 completed March 27, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69c5e5abb4408190a2a54a26e1479851 completed March 27, 2026, 2:04 a.m.
Created at: March 22, 2026, 4:26 p.m.