Triple

T1221073
Position Surface form Disambiguated ID Type / Status
Subject As I Am E26222 entity
Predicate hasTrack P3284 FINISHED
Object Prelude to a Kiss E124107 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: Prelude to a Kiss | Statement: [As I Am, hasTrack, Prelude to a Kiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prelude to a Kiss
Context triple: [As I Am, hasTrack, Prelude to a Kiss]
  • A. Prelude to a Kiss chosen
    Prelude to a Kiss is a 1938 jazz ballad by Duke Ellington, renowned for its sophisticated harmonies and lyrical, romantic melody.
  • B. Kisses Sweeter Than Wine
    "Kisses Sweeter Than Wine" is a popular 1957 folk-pop song, originally adapted from a traditional tune and made famous by American singer Jimmie Rodgers.
  • C. The Tender Passion
    The Tender Passion is a historical study by cultural historian Peter Gay that explores the evolution of romantic love and courtship in Western society.
  • D. The Kiss
    The Kiss is a painting by Norwegian artist Edvard Munch that depicts an intimate, melancholic embrace between two lovers, characteristic of his emotionally charged, Symbolist style.
  • E. For Love Alone
    "For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be206c108190bb8a5d44fc516c98 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832508c881908ea01e0b7c7e53eb completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:47 p.m.