Triple

T17360507
Position Surface form Disambiguated ID Type / Status
Subject Air E422054 entity
Predicate hasSoundtrackWork P127198 FINISHED
Object Le voyage dans la lune (2012 score) NE ONDG

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: Le voyage dans la lune (2012 score) | Statement: [Air, hasSoundtrackWork, Le voyage dans la lune (2012 score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le voyage dans la lune (2012 score)
Context triple: [Air, hasSoundtrackWork, Le voyage dans la lune (2012 score)]
  • A. Moon (score)
    Moon (score) is Clint Mansell’s atmospheric, minimalist film soundtrack for the 2009 science fiction movie "Moon," noted for its haunting piano motifs and emotional depth.
  • 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. To the Moon
    "To the Moon" is a song featured on the album "All I Want Is You."
  • D. To the Moon and Back
    "To the Moon and Back" is a song featured on the album "Kill the Lights."
  • E. Moonraker (film) score
    The Moonraker (film) score is the orchestral soundtrack composed by John Barry for the 1979 James Bond film "Moonraker," blending lush romantic themes with space-age and suspenseful motifs.
  • 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: Le voyage dans la lune (2012 score)
Triple: [Air, hasSoundtrackWork, Le voyage dans la lune (2012 score)]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le voyage dans la lune (2012 score)
Target entity description: Le voyage dans la lune (2012 score) is a modern soundtrack album by the French electronic duo Air, created to accompany Georges Méliès’s classic silent film "A Trip to the Moon."
  • A. Moon (score)
    Moon (score) is Clint Mansell’s atmospheric, minimalist film soundtrack for the 2009 science fiction movie "Moon," noted for its haunting piano motifs and emotional depth.
  • 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. To the Moon
    "To the Moon" is a song featured on the album "All I Want Is You."
  • D. To the Moon and Back
    "To the Moon and Back" is a song featured on the album "Kill the Lights."
  • E. Moonraker (film) score
    The Moonraker (film) score is the orchestral soundtrack composed by John Barry for the 1979 James Bond film "Moonraker," blending lush romantic themes with space-age and suspenseful motifs.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.