Triple

T14192413
Position Surface form Disambiguated ID Type / Status
Subject FKA twigs E351744 entity
Predicate recordLabel P1500 FINISHED
Object Young
Young is an independent record label known for working with innovative and genre-blending artists such as FKA twigs.
E1085203 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 | Statement: [FKA twigs, recordLabel, Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young
Context triple: [FKA twigs, recordLabel, Young]
  • A. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • B. Young
    "Young" is a pop-EDM single by The Chainsmokers, featured on their debut studio album "Memories...Do Not Open."
  • C. Young
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • D. Young
    "Young" is the dance-pop debut solo single by British singer Tulisa Contostavlos, released in 2012 and known for its catchy chorus and chart-topping success in the UK.
  • E. Youth
    Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
  • 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
Triple: [FKA twigs, recordLabel, Young]
Generated description
Young is an independent record label known for working with innovative and genre-blending artists such as FKA twigs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Young
Target entity description: Young is an independent record label known for working with innovative and genre-blending artists such as FKA twigs.
  • A. Young
    Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
  • B. Young
    Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
  • C. Young
    "Young" is a pop-EDM single by The Chainsmokers, featured on their debut studio album "Memories...Do Not Open."
  • D. Young
    "Young" is the dance-pop debut solo single by British singer Tulisa Contostavlos, released in 2012 and known for its catchy chorus and chart-topping success in the UK.
  • E. Youth
    Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1b2ace9c8190a7458e5c43a3c3d6 completed May 7, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fd1c61b994819081dcc92ae33772ed completed May 7, 2026, 11:12 p.m.
Created at: April 10, 2026, 1:04 a.m.