Triple

T15782338
Position Surface form Disambiguated ID Type / Status
Subject Jay Cronley E382649 entity
Predicate notableWork P4 FINISHED
Object Good Vibes
Good Vibes is a humorous novel by American writer Jay Cronley, known for its offbeat characters and comedic take on everyday life.
E1176868 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: Good Vibes | Statement: [Jay Cronley, notableWork, Good Vibes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Vibes
Context triple: [Jay Cronley, notableWork, Good Vibes]
  • A. Good Vibes
    Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
  • B. Good Feeling
    "Good Feeling" is the debut studio album by Scottish rock band Travis, showcasing their early Britpop-influenced sound.
  • C. Feels Good
    "Feels Good" is a 1990 new jack swing and R&B hit single by Tony! Toni! Toné! that became one of the group's signature songs.
  • D. Feels Good
    "Feels Good" is a popular jazz composition closely associated with the German a cappella group Take 6, showcasing their intricate harmonies and innovative vocal arrangements.
  • E. It’s a Vibe
    "It’s a Vibe" is a smooth, laid-back hip-hop track by 2 Chainz featuring Ty Dolla $ign, Trey Songz, and Jhené Aiko, known for its mellow production and sensual, atmospheric feel.
  • 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: Good Vibes
Triple: [Jay Cronley, notableWork, Good Vibes]
Generated description
Good Vibes is a humorous novel by American writer Jay Cronley, known for its offbeat characters and comedic take on everyday life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Good Vibes
Target entity description: Good Vibes is a humorous novel by American writer Jay Cronley, known for its offbeat characters and comedic take on everyday life.
  • A. Good Vibes
    Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
  • B. Good Feeling
    "Good Feeling" is the debut studio album by Scottish rock band Travis, showcasing their early Britpop-influenced sound.
  • C. Feels Good
    "Feels Good" is a 1990 new jack swing and R&B hit single by Tony! Toni! Toné! that became one of the group's signature songs.
  • D. Feels Good
    "Feels Good" is a popular jazz composition closely associated with the German a cappella group Take 6, showcasing their intricate harmonies and innovative vocal arrangements.
  • E. It’s a Vibe
    "It’s a Vibe" is a smooth, laid-back hip-hop track by 2 Chainz featuring Ty Dolla $ign, Trey Songz, and Jhené Aiko, known for its mellow production and sensual, atmospheric feel.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff9407644081908d7dbba5245931d4 completed May 9, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69ff946722f48190a99bbcca681db528 completed May 9, 2026, 8:09 p.m.
Created at: April 10, 2026, 4:48 a.m.