Triple

T14146262
Position Surface form Disambiguated ID Type / Status
Subject Love Poems E350557 entity
Predicate hasPoem P21160 FINISHED
Object The Kiss E765715 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: The Kiss | Statement: [Love Poems, hasPoem, The Kiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Kiss
Context triple: [Love Poems, hasPoem, The Kiss]
  • A. The Kiss
    "The Kiss" is a hauntingly beautiful, spiritually themed folk song by American singer-songwriter Judee Sill, noted for its intricate harmonies and devotional lyrics.
  • B. The Kiss
    The Kiss is an 1896 short silent film that became famous as one of the earliest motion pictures to depict a romantic kiss on screen.
  • C. The Kiss
    The Kiss is an iconic 1945 photograph by Alfred Eisenstaedt capturing a jubilant sailor spontaneously kissing a nurse in New York City's Times Square at the end of World War II.
  • D. The Kiss
    The Kiss is a famous 1859 Romantic-era oil painting by Italian artist Francesco Hayez, celebrated for its passionate depiction of a couple’s embrace and its symbolism of Italian unification.
  • E. The Kiss chosen
    "The Kiss" is a poem by Siegfried Sassoon, featured in his World War I collection "Counter-Attack and Other Poems," that starkly portrays the brutal realities of modern warfare.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1d8c448190bd223258b28fecc9 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:54 a.m.