Triple

T21490061
Position Surface form Disambiguated ID Type / Status
Subject Side by Side E530212 entity
Predicate hasTrack P3284 FINISHED
Object Going Up
"Going Up" is a song featured on the Christian worship album "Side by Side."
 E1487492 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: Going Up | Statement: [Side by Side, hasTrack, Going Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Going Up
Context triple: [Side by Side, hasTrack, Going Up]
  • A. What Goes Up
    "What Goes Up" is a science fiction short story by Arthur C. Clarke, included in his humorous bar-story collection *Tales from the White Hart*.
  • B. What Goes Up
    What Goes Up is a 2009 American comedy-drama film set in 1986 New Hampshire that follows a disillusioned journalist covering the Challenger launch while becoming entangled in the lives of troubled high school students.
  • C. Up and Down
    "Up and Down" is a song by Doja Cat from her genre-blending, futuristic-themed album *Planet Her*.
  • D. Move On Up
    "Move On Up" is an uplifting soul and funk anthem by Curtis Mayfield, celebrated for its driving horn arrangement and inspirational message of perseverance and social progress.
  • E. Movin' On Up
    "Movin' On Up" is the upbeat, gospel-influenced theme song best known for introducing the American sitcom *The Jeffersons* and celebrating its characters’ rise to a better life.
  • 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: Going Up
Triple: [Side by Side, hasTrack, Going Up]
Generated description
"Going Up" is a song featured on the Christian worship album "Side by Side."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Going Up
Target entity description: "Going Up" is a song featured on the Christian worship album "Side by Side."
  • A. What Goes Up
    What Goes Up is a 2009 American comedy-drama film set in 1986 New Hampshire that follows a disillusioned journalist covering the Challenger launch while becoming entangled in the lives of troubled high school students.
  • B. What Goes Up
    "What Goes Up" is a science fiction short story by Arthur C. Clarke, included in his humorous bar-story collection *Tales from the White Hart*.
  • C. Up and Down
    "Up and Down" is a song by Doja Cat from her genre-blending, futuristic-themed album *Planet Her*.
  • D. Move On Up
    "Move On Up" is an uplifting soul and funk anthem by Curtis Mayfield, celebrated for its driving horn arrangement and inspirational message of perseverance and social progress.
  • E. Movin' On Up
    "Movin' On Up" is the upbeat, gospel-influenced theme song best known for introducing the American sitcom *The Jeffersons* and celebrating its characters’ rise to a better life.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea39e73081908e8d14118f9d1e03 completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e135d8988190aeacd46b575fef07 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1b800188190ba1e667a7c2f1c4e completed May 17, 2026, 3:41 p.m.
NED2 Entity disambiguation (via description) batch_6a09e22dcac081909a02bbb3f74f42a9 completed May 17, 2026, 3:43 p.m.
Created at: April 16, 2026, 6:22 p.m.