Triple

T11956597
Position Surface form Disambiguated ID Type / Status
Subject Younger E284568 entity
Predicate basedOn P98 FINISHED
Object Younger (novel)
"Younger" is a novel by Pamela Redmond Satran that follows a forty-year-old woman who reinvents herself as a twenty-something to restart her stalled career and love life.
 E956126 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: Younger (novel) | Statement: [Younger, basedOn, Younger (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Younger (novel)
Context triple: [Younger, basedOn, Younger (novel)]
  • A. The House of Youth
    The House of Youth is a silent-era film best known for featuring actress Jacqueline Logan in a prominent role.
  • B. Only the Young
    "Only the Young" is a 1980s rock song by the American band Journey, known for its anthemic style and association with the film "Vision Quest."
  • C. Younger Now
    Younger Now is a 2017 studio album by American singer Miley Cyrus that marks a return to a more stripped-down, country-influenced pop sound.
  • D. American Young
    American Young is an American country music duo known for their harmonies and modern country sound.
  • E. The Youngest Profession
    The Youngest Profession is a 1943 American comedy film about a teenage girl who becomes a Hollywood autograph hunter, featuring early appearances by several major movie stars.
  • 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: Younger (novel)
Triple: [Younger, basedOn, Younger (novel)]
Generated description
"Younger" is a novel by Pamela Redmond Satran that follows a forty-year-old woman who reinvents herself as a twenty-something to restart her stalled career and love life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Younger (novel)
Target entity description: "Younger" is a novel by Pamela Redmond Satran that follows a forty-year-old woman who reinvents herself as a twenty-something to restart her stalled career and love life.
  • A. The House of Youth
    The House of Youth is a silent-era film best known for featuring actress Jacqueline Logan in a prominent role.
  • B. Only the Young
    "Only the Young" is a 1980s rock song by the American band Journey, known for its anthemic style and association with the film "Vision Quest."
  • C. Younger Now
    Younger Now is a 2017 studio album by American singer Miley Cyrus that marks a return to a more stripped-down, country-influenced pop sound.
  • D. American Young
    American Young is an American country music duo known for their harmonies and modern country sound.
  • E. The Youngest Profession
    The Youngest Profession is a 1943 American comedy film about a teenage girl who becomes a Hollywood autograph hunter, featuring early appearances by several major movie stars.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.