Triple

T20652419
Position Surface form Disambiguated ID Type / Status
Subject Runaway Horses E507529 entity
Predicate hasPart P35 FINISHED
Object La Luna 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: La Luna | Statement: [Runaway Horses, hasPart, La Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Luna
Context triple: [Runaway Horses, hasPart, La Luna]
  • A. 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.
  • B. La Luna chosen
    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.
  • C. La Luna
    La Luna is a classical crossover album by English soprano Sarah Brightman that blends operatic vocals with pop and world music influences, themed around the moon and night.
  • D. 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.
  • E. Måna
    Måna is a river in Norway that flows through the industrial town of Rjukan in Telemark.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af22d6bc8190b9d6877aba5704eb completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.