Triple

T17340344
Position Surface form Disambiguated ID Type / Status
Subject Bed and Board E421049 entity
Predicate follows P134 FINISHED
Object Stolen Kisses E421048 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: Stolen Kisses | Statement: [Bed and Board, follows, Stolen Kisses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stolen Kisses
Context triple: [Bed and Board, follows, Stolen Kisses]
  • A. Stolen Kisses chosen
    Stolen Kisses is a 1968 French romantic comedy film by François Truffaut that follows Antoine Doinel’s misadventures in love and work in Paris.
  • B. Stealing Kisses
    "Stealing Kisses" is a song by country artist Faith Hill from her 2005 album "Fireflies," known for its reflective lyrics about love and regret.
  • C. The Stolen Kiss
    The Stolen Kiss is an 18th-century Rococo painting by Jean-Honoré Fragonard depicting a clandestine romantic embrace in an opulent interior.
  • D. Steal My Kisses
    "Steal My Kisses" is a popular, groove-driven acoustic soul song by American singer-songwriter Ben Harper, known for its beatboxing, playful lyrics, and laid-back vibe.
  • E. The Last Kiss
    The Last Kiss is a 2006 romantic dramedy film about the anxieties of approaching adulthood and commitment, starring Zach Braff and directed by Tony Goldwyn.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c588a7081909ab108cb4adfedfe completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:44 a.m.