Triple

T14160855
Position Surface form Disambiguated ID Type / Status
Subject IAU lunar nomenclature E350940 entity
Predicate appliesTo P1129 FINISHED
Object Moon E4619 NE FINISHED

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: Moon | Statement: [IAU lunar nomenclature, appliesTo, Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon
Context triple: [IAU lunar nomenclature, appliesTo, Moon]
  • A. Moon
    Moon is a 2009 science fiction film directed by Duncan Jones that follows a solitary astronaut nearing the end of his three-year stint on a lunar mining base, exploring themes of identity, memory, and corporate ethics.
  • B. Moon chosen
    The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
  • C. The Moon
    "The Moon" is a poem by Robert Louis Stevenson, featured in his classic children's poetry collection *A Child’s Garden of Verses*, that evokes the quiet mystery and beauty of the moonlit night.
  • D. La Luna
    La Luna is a Pixar animated short film directed by Enrico Casarosa that follows a young boy experiencing a magical coming-of-age night working with his father and grandfather to sweep stars from the moon.
  • E. La Luna
    La Luna is a 1979 drama film directed by Bernardo Bertolucci, known for its intense psychological themes and featuring Jill Clayburgh in a leading role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61393f308190bb357e2bd1916f94 completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f166988190a96d01fb4bd1438e completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.