Triple

T2619121
Position Surface form Disambiguated ID Type / Status
Subject The Chainsmokers E58960 entity
Predicate album P1995 FINISHED
Object So Far So Good
So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
 E283131 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: So Far So Good | Statement: [The Chainsmokers, album, So Far So Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: So Far So Good
Context triple: [The Chainsmokers, album, So Far So Good]
  • A. So Far
    So Far is a 1974 compilation album by Crosby, Stills, Nash & Young featuring many of their most popular songs from earlier releases.
  • B. Something Good
    "Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
  • C. On a Good Day
    "On a Good Day" is a brief, piano-driven folk song by Joanna Newsom, known for its delicate melody and introspective lyrics.
  • D. Life's Good
    Life's Good is the well-known marketing slogan used by South Korean electronics company LG to promote its brand and products.
  • E. So Far To Go
    "So Far To Go" is a soulful hip-hop track by Common, produced by J Dilla and also appearing on the album "Finding Forever."
  • 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: So Far So Good
Triple: [The Chainsmokers, album, So Far So Good]
Generated description
So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: So Far So Good
Target entity description: So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
  • A. So Far
    So Far is a 1974 compilation album by Crosby, Stills, Nash & Young featuring many of their most popular songs from earlier releases.
  • B. Something Good
    "Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
  • C. On a Good Day
    "On a Good Day" is a brief, piano-driven folk song by Joanna Newsom, known for its delicate melody and introspective lyrics.
  • D. Life's Good
    Life's Good is the well-known marketing slogan used by South Korean electronics company LG to promote its brand and products.
  • E. So Far To Go
    "So Far To Go" is a soulful hip-hop track by Common, produced by J Dilla and also appearing on the album "Finding Forever."
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8962b348190a059519778ea4dba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ba2908190b535d96c6f0e76ba completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af914ebc80819091524d1a4c316337 completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91cc03648190936adfcccb6017de completed March 10, 2026, 3:36 a.m.
Created at: March 6, 2026, 9:50 p.m.