Triple

T11338904
Position Surface form Disambiguated ID Type / Status
Subject Justice Smith E268543 entity
Predicate notableWork P4 FINISHED
Object Generation
Generation is an HBO Max dramedy series that follows a diverse group of high school students exploring sexuality, identity, and modern teen life.
E919925 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: Generation | Statement: [Justice Smith, notableWork, Generation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Generation
Context triple: [Justice Smith, notableWork, Generation]
  • A. Generation
    Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
  • B. Now Generation
    "Now Generation" is a track by the Black Eyed Peas from their album "The E.N.D." that critiques consumerism and the instant-gratification culture of modern society.
  • C. Generation Now
    Generation Now is an American record label and entertainment company known for signing prominent hip-hop artists such as Lil Uzi Vert.
  • D. Generation IM
    Generation IM is a sustainable investment firm co-founded by former U.S. Vice President Al Gore that focuses on long-term, environmentally and socially responsible investing.
  • E. Genera
    Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
  • 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: Generation
Triple: [Justice Smith, notableWork, Generation]
Generated description
Generation is an HBO Max dramedy series that follows a diverse group of high school students exploring sexuality, identity, and modern teen life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Generation
Target entity description: Generation is an HBO Max dramedy series that follows a diverse group of high school students exploring sexuality, identity, and modern teen life.
  • A. Generation
    Generation is a youth-focused program of the Berlin International Film Festival that showcases films for and about children and teenagers.
  • B. Now Generation
    "Now Generation" is a track by the Black Eyed Peas from their album "The E.N.D." that critiques consumerism and the instant-gratification culture of modern society.
  • C. Generation Now
    Generation Now is an American record label and entertainment company known for signing prominent hip-hop artists such as Lil Uzi Vert.
  • D. Generation IM
    Generation IM is a sustainable investment firm co-founded by former U.S. Vice President Al Gore that focuses on long-term, environmentally and socially responsible investing.
  • E. Genera
    Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.