Triple

T3681384
Position Surface form Disambiguated ID Type / Status
Subject Broken Flowers E78118 entity
Predicate productionCompany P490 FINISHED
Object Five Roses
Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
E380798 NE FINISHED

How this triple was built (4 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. Bed of Roses
    Bed of Roses is a 1996 romantic drama film best known for its tender love story and emotive musical score.
  • B. 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.
  • C. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • D. 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.
  • E. Roses Blue
    "Roses Blue" is a song by Joni Mitchell from her 1969 album *Clouds*, noted for its introspective lyrics and folk-influenced style.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Five Roses
Triple: [Broken Flowers, productionCompany, Five Roses]
Generated description
Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Five Roses
Target entity description: Five Roses is a film production company known for its involvement in the creation of the 2005 drama-comedy "Broken Flowers."
  • 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. 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.
  • C. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • D. 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.
  • E. Roses Blue
    "Roses Blue" is a song by Joni Mitchell from her 1969 album *Clouds*, noted for its introspective lyrics and folk-influenced style.
  • F. None of above. chosen

Provenance (5 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc492aed481909e8986378ad283fc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3ae61908190beefd0df317b5eca completed March 14, 2026, 2:10 a.m.
NEDg Description generation batch_69b4c79cc8148190af8abfb393232a60 completed March 14, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b4c94ccb5c819092d1ab8246e44108 completed March 14, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:25 p.m.