Triple

T9059198
Position Surface form Disambiguated ID Type / Status
Subject Keep the Faith Tour E217077 entity
Predicate notableSongPerformed P11145 FINISHED
Object Bed of Roses E777265 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 Tour, notableSongPerformed, 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 Tour, notableSongPerformed, Bed of Roses]
  • A. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • B. Bed of Roses chosen
    "Bed of Roses" is a power ballad by American rock band Bon Jovi, known for its emotional lyrics and soaring melody, released in the early 1990s.
  • C. 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.
  • D. 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.
  • E. Five Roses
    Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
  • 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_69d02fe00980819082571eccb608d605 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:10 p.m.