Triple

T13542040
Position Surface form Disambiguated ID Type / Status
Subject Some People E323410 entity
Predicate writtenForCharacter P30806 FINISHED
Object Rose
Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
 E1046772 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: [Some People, writtenForCharacter, Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rose
Context triple: [Some People, writtenForCharacter, 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 fragrance and body care line by Roger & Gallet centered on the delicate, classic scent of roses.
  • E. Rose
    Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • 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: [Some People, writtenForCharacter, Rose]
Generated description
Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rose
Target entity description: Rose is a fictional character who serves as the intended recipient or focus of the work "Some People."
  • 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 the central protagonist of the zombie apocalypse television series "Black Summer," around whom the show's survival narrative primarily revolves.
  • E. Rose
    Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • 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_69f75d9eaff881909a3cd9e88bb4ec5e completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e7d8970819092116ae7a769ac21 completed May 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f75f35c6008190b88e14feddb93a1d completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:45 p.m.