Triple

T9058473
Position Surface form Disambiguated ID Type / Status
Subject Keep the Faith E217062 entity
Predicate hasTrack P3284 FINISHED
Object Bed of Roses E277599 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: Bed of Roses | Statement: [Keep the Faith, hasTrack, Bed of Roses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bed of Roses
Context triple: [Keep the Faith, hasTrack, Bed of Roses]
  • A. Bed of Roses chosen
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • B. Only a Rose
    "Only a Rose" is a romantic song from the 1925 operetta "The Vagabond King," composed by Rudolf Friml and widely recognized as one of his signature melodies.
  • C. Buy Me a Rose
    "Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
  • D. Five Roses
    Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
  • E. Roses & Sunshine
    Roses & Sunshine is a studio album by Greek singer Nana Mouskouri that showcases her signature blend of easy-listening pop and folk-influenced ballads.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.