Triple

T5053427
Position Surface form Disambiguated ID Type / Status
Subject Cafe Racers E113840 entity
Predicate hasPart P35 FINISHED
Object Young Love
Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
E490236 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: Young Love | Statement: [Cafe Racers, hasPart, Young Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Love
Context triple: [Cafe Racers, hasPart, Young Love]
  • A. Young Romance
    Young Romance is a pioneering romance comic book series co-created by Joe Simon that helped establish and popularize the romance genre in American comics.
  • B. Puppy Love
    "Puppy Love" is a 1960 pop song by Paul Anka, famous as a sentimental teen romance ballad that became one of his signature hits.
  • C. True Love
    "True Love" is a vibrant Afro-pop song by Nigerian singer Yemi Alade that celebrates joyful, affirming romantic love.
  • D. True Love
    "True Love" is a collaborative song by Kanye West and XXXTentacion, released on the album *Donda 2* and noted for its melancholic tone and themes of loss and longing.
  • E. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • 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: Young Love
Triple: [Cafe Racers, hasPart, Young Love]
Generated description
Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Young Love
Target entity description: Young Love is an American electronic rock band known for its danceable, synth-driven sound and emotionally charged lyrics.
  • A. Young Romance
    Young Romance is a pioneering romance comic book series co-created by Joe Simon that helped establish and popularize the romance genre in American comics.
  • B. Puppy Love
    "Puppy Love" is a 1960 pop song by Paul Anka, famous as a sentimental teen romance ballad that became one of his signature hits.
  • C. True Love
    "True Love" is a vibrant Afro-pop song by Nigerian singer Yemi Alade that celebrates joyful, affirming romantic love.
  • D. True Love
    "True Love" is a collaborative song by Kanye West and XXXTentacion, released on the album *Donda 2* and noted for its melancholic tone and themes of loss and longing.
  • E. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd742a59448190918766c261cfa13d completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea486b394819082ea80694843b29e completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea509ff4c8190be2ce24e84366ea8 completed March 21, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69bea577f4b0819084d579e4d4804947 completed March 21, 2026, 2:04 p.m.
Created at: March 20, 2026, 1:38 p.m.