Triple

T19894674
Position Surface form Disambiguated ID Type / Status
Subject From the Earth to the Moon E478119 entity
Predicate hasSequel P1961 FINISHED
Object Around the Moon NE NERFINISHED

How this triple was built (2 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: Around the Moon | Statement: [From the Earth to the Moon, hasSequel, Around the Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Around the Moon
Context triple: [From the Earth to the Moon, hasSequel, Around the Moon]
  • A. Ticket to the Moon
    "Ticket to the Moon" is a 1981 song by Electric Light Orchestra, known for its melancholic, orchestral pop sound and space-themed lyrics.
  • B. To the Moon
    "To the Moon" is a song featured on the album "All I Want Is You."
  • 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. Autour de la Lune chosen
    Autour de la Lune is an 1870 science fiction novel by Jules Verne that continues the story of a manned lunar voyage begun in De la Terre à la Lune.
  • E. Reaching for the Moon
    Reaching for the Moon is a Brazilian biographical drama film directed by Bruno Barreto that portrays the love affair between American poet Elizabeth Bishop and Brazilian architect Lota de Macedo Soares.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659105d7481909131d9907ac0094b completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.