Triple

T13541997
Position Surface form Disambiguated ID Type / Status
Subject Everything’s Coming Up Roses E323409 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Rose
Rose is a central character in the musical "Gypsy," known as the domineering and ambitious stage mother whose relentless drive propels much of the story’s drama.
E1051861 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: Rose | Statement: [Everything’s Coming Up Roses, associatedWithCharacter, Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose
Context triple: [Everything’s Coming Up Roses, associatedWithCharacter, Rose]
  • A. Rose
    Rose is a central character in Tommy Wiseau’s cult film "The Room," known for her manipulative relationship with the protagonist, Johnny.
  • B. Rose
    Rose is a common English surname shared by many individuals, including the American basketball player Derrick Rose.
  • C. Rose
    Rose is a feminine given name commonly associated with the flower and often used in English-speaking countries.
  • D. Rose
    Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • E. Rose
    Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
  • 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: Rose
Triple: [Everything’s Coming Up Roses, associatedWithCharacter, Rose]
Generated description
Rose is a central character in the musical "Gypsy," known as the domineering and ambitious stage mother whose relentless drive propels much of the story’s drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose
Target entity description: Rose is a central character in the musical "Gypsy," known as the domineering and ambitious stage mother whose relentless drive propels much of the story’s drama.
  • A. Rose
    Rose is a character in the musical "Small World," portrayed as a central figure whose experiences and relationships drive much of the story’s emotional arc.
  • B. Rose
    Rose is a central character in Tommy Wiseau’s cult film "The Room," known for her manipulative relationship with the protagonist, Johnny.
  • C. Rose
    Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
  • D. Rose
    Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • E. Rose
    Rose is the central protagonist of the zombie apocalypse television series "Black Summer," around whom the show's survival narrative primarily revolves.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f783e6f670819082fe29673a47ed1e completed May 3, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:45 p.m.