Triple

T14081860
Position Surface form Disambiguated ID Type / Status
Subject Lights E338886 entity
Predicate notableWork P4 FINISHED
Object Up We Go
"Up We Go" is a 2014 indie pop single by Canadian singer-songwriter Lights, known for its uplifting lyrics and anthemic, synth-driven sound.
 E1078392 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: Up We Go | Statement: [Lights, notableWork, Up We Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Up We Go
Context triple: [Lights, notableWork, Up We Go]
  • A. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • B. Yonder We Go
    "Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
  • C. Where Do We Go
    "Where Do We Go" is a song title that likely explores themes of uncertainty, direction, or searching for meaning.
  • D. Got to Go
    "Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
  • E. Everywhere We Go
    Everywhere We Go is a large-scale contemporary ballet choreographed by Justin Peck, known for its dynamic ensemble work, inventive musicality, and modern reinterpretation of classical ballet forms.
  • 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: Up We Go
Triple: [Lights, notableWork, Up We Go]
Generated description
"Up We Go" is a 2014 indie pop single by Canadian singer-songwriter Lights, known for its uplifting lyrics and anthemic, synth-driven sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Up We Go
Target entity description: "Up We Go" is a 2014 indie pop single by Canadian singer-songwriter Lights, known for its uplifting lyrics and anthemic, synth-driven sound.
  • A. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • B. Yonder We Go
    "Yonder We Go" is a track from the folk album *Harrow Songs* by English singer-songwriter and guitarist James Yorkston.
  • C. Where Do We Go
    "Where Do We Go" is a song title that likely explores themes of uncertainty, direction, or searching for meaning.
  • D. Got to Go
    "Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
  • E. Everywhere We Go
    Everywhere We Go is a large-scale contemporary ballet choreographed by Justin Peck, known for its dynamic ensemble work, inventive musicality, and modern reinterpretation of classical ballet forms.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc44b8f3c8190a7dc5a98239be1a5 completed May 7, 2026, 4:56 p.m.
NED2 Entity disambiguation (via description) batch_69fcc4d99f608190a6dddfda19bf0685 completed May 7, 2026, 4:59 p.m.
Created at: April 9, 2026, 10:21 p.m.