Triple

T15195554
Position Surface form Disambiguated ID Type / Status
Subject Veckatimest E363129 entity
Predicate hasPart P35 FINISHED
Object Foreground
"Foreground" is a song by the American indie rock band Grizzly Bear from their acclaimed 2009 album *Veckatimest*.
 E1143210 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: Foreground | Statement: [Veckatimest, hasPart, Foreground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foreground
Context triple: [Veckatimest, hasPart, Foreground]
  • A. Front
    Front is a British actress, writer, and comedian best known for her roles in television series such as "The Thick of It" and "Nighty Night."
  • B. Forward
    Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
  • C. Forward
    Forward was the central campaign slogan used by Barack Obama during his 2012 U.S. presidential re-election bid, emphasizing progress and continuation of his policies.
  • D. Front and Center
    "Front and Center" is a World War II-era American film drama written by John Houseman, likely focusing on military life and personal conflict during the war.
  • E. Backcloth
    Backcloth is an autobiographical work by British actor and writer Dirk Bogarde, reflecting on his life and career in the entertainment industry.
  • 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: Foreground
Triple: [Veckatimest, hasPart, Foreground]
Generated description
"Foreground" is a song by the American indie rock band Grizzly Bear from their acclaimed 2009 album *Veckatimest*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foreground
Target entity description: "Foreground" is a song by the American indie rock band Grizzly Bear from their acclaimed 2009 album *Veckatimest*.
  • A. Front
    Front is a British actress, writer, and comedian best known for her roles in television series such as "The Thick of It" and "Nighty Night."
  • B. Forward
    Forward is the state motto of Wisconsin, expressing its emphasis on progress and continual improvement.
  • C. Forward
    Forward was the central campaign slogan used by Barack Obama during his 2012 U.S. presidential re-election bid, emphasizing progress and continuation of his policies.
  • D. Front and Center
    "Front and Center" is a World War II-era American film drama written by John Houseman, likely focusing on military life and personal conflict during the war.
  • E. Backcloth
    Backcloth is an autobiographical work by British actor and writer Dirk Bogarde, reflecting on his life and career in the entertainment industry.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3324fdc8190b31d4d2fcaffc57a completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed44b2e3c8190aad111e2bc2b56a2 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed547192c8190b89755fff48ca620 completed May 9, 2026, 6:33 a.m.
Created at: April 10, 2026, 3:10 a.m.