Triple

T10964160
Position Surface form Disambiguated ID Type / Status
Subject Kill the Lights E259051 entity
Predicate includesTrack P3284 FINISHED
Object To the Moon and Back
"To the Moon and Back" is a song featured on the album "Kill the Lights."
 E897272 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: To the Moon and Back | Statement: [Kill the Lights, includesTrack, To the Moon and Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: To the Moon and Back
Context triple: [Kill the Lights, includesTrack, To the Moon and Back]
  • A. To the Moon
    "To the Moon" is a song featured on the album "All I Want Is You."
  • B. Return to the Moon
    Return to the Moon is the debut studio album by indie rock duo EL VY, a collaboration between The National’s Matt Berninger and Menomena’s Brent Knopf.
  • C. Venture to the Moon
    "Venture to the Moon" is a science fiction work by Arthur C. Clarke that follows a pioneering mission and early human adventures in lunar exploration.
  • D. To Space and Back
    "To Space and Back" is a popular science book by astronaut Sally Ride that recounts her experiences in space and explains the science and technology of spaceflight for a general audience.
  • E. Walking on the Moon
    "Walking on the Moon" is a reggae-influenced rock song by the English band The Police, known for its atmospheric sound and distinctive bassline.
  • 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: To the Moon and Back
Triple: [Kill the Lights, includesTrack, To the Moon and Back]
Generated description
"To the Moon and Back" is a song featured on the album "Kill the Lights."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: To the Moon and Back
Target entity description: "To the Moon and Back" is a song featured on the album "Kill the Lights."
  • A. To the Moon
    "To the Moon" is a song featured on the album "All I Want Is You."
  • B. Return to the Moon
    Return to the Moon is the debut studio album by indie rock duo EL VY, a collaboration between The National’s Matt Berninger and Menomena’s Brent Knopf.
  • C. Venture to the Moon
    "Venture to the Moon" is a science fiction work by Arthur C. Clarke that follows a pioneering mission and early human adventures in lunar exploration.
  • D. To Space and Back
    "To Space and Back" is a popular science book by astronaut Sally Ride that recounts her experiences in space and explains the science and technology of spaceflight for a general audience.
  • E. Walking on the Moon
    "Walking on the Moon" is a reggae-influenced rock song by the English band The Police, known for its atmospheric sound and distinctive bassline.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d77277108190979f1b1edeac8964 completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:23 p.m.