Triple

T19579573
Position Surface form Disambiguated ID Type / Status
Subject Denise Robert E489950 entity
Predicate notableWork P4 FINISHED
Object Bittersweet Memories
Bittersweet Memories is a film produced by Canadian producer Denise Robert, known for its emotionally resonant storytelling.
E1382768 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: Bittersweet Memories | Statement: [Denise Robert, notableWork, Bittersweet Memories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bittersweet Memories
Context triple: [Denise Robert, notableWork, Bittersweet Memories]
  • A. Bitter Sweet
    "Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
  • B. Bitter Sweet
    Bitter Sweet is a 1929 operetta by Noël Coward, known for its romantic storyline and memorable songs set against an early 20th-century European backdrop.
  • C. Precious Memories
    Precious Memories is a song by American country artist Sara Evans, featured on her album "What I Do."
  • D. Bittersweet World
    Bittersweet World is the third studio album by American singer Ashlee Simpson, showcasing a pop-rock sound with dance and 1980s-inspired influences.
  • E. Bittersweet Suite
    "Bittersweet Suite" is a contemplative, emotionally rich orchestral piece from Thomas Newman's acclaimed score for the film *Road to Perdition*.
  • 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: Bittersweet Memories
Triple: [Denise Robert, notableWork, Bittersweet Memories]
Generated description
Bittersweet Memories is a film produced by Canadian producer Denise Robert, known for its emotionally resonant storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bittersweet Memories
Target entity description: Bittersweet Memories is a film produced by Canadian producer Denise Robert, known for its emotionally resonant storytelling.
  • A. Bitter Sweet
    "Bitter Sweet" is a soul and R&B album by The Main Ingredient, showcasing the group's smooth harmonies and early-1970s sound.
  • B. Bitter Sweet
    Bitter Sweet is a 1929 operetta by Noël Coward, known for its romantic storyline and memorable songs set against an early 20th-century European backdrop.
  • C. Precious Memories
    Precious Memories is a song by American country artist Sara Evans, featured on her album "What I Do."
  • D. Bittersweet World
    Bittersweet World is the third studio album by American singer Ashlee Simpson, showcasing a pop-rock sound with dance and 1980s-inspired influences.
  • E. Bittersweet Suite
    "Bittersweet Suite" is a contemplative, emotionally rich orchestral piece from Thomas Newman's acclaimed score for the film *Road to Perdition*.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07579373e48190b306f39e1280607d completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07580eaccc8190a957f2a22153399e completed May 15, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_6a07587a34548190a63148e8fdca14ab completed May 15, 2026, 5:31 p.m.
Created at: April 10, 2026, 1:42 p.m.