Triple

T15709424
Position Surface form Disambiguated ID Type / Status
Subject Broken Flowers E380798 entity
Predicate productionCompany P490 FINISHED
Object Five Roses E380798 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: Five Roses | Statement: [Broken Flowers, productionCompany, Five Roses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Five Roses
Context triple: [Broken Flowers, productionCompany, Five Roses]
  • A. Five Roses chosen
    Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
  • B. Bed of Roses
    Bed of Roses is a 1933 romantic comedy film starring Constance Bennett as a savvy former prostitute who schemes her way into high society but unexpectedly falls in love.
  • C. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • D. Bed of Roses
    "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.
  • E. Wild Roses
    "Wild Roses" is a song featured on the album *Fever Dream* by the Icelandic indie folk band Of Monsters and Men.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757b7e0c81909b32aecc093c93e4 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.