Triple

T12531195
Position Surface form Disambiguated ID Type / Status
Subject The Magdalene Sisters E299566 entity
Predicate mainCharacter P1183 FINISHED
Object Rose
Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
 E988402 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: [The Magdalene Sisters, mainCharacter, Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rose
Context triple: [The Magdalene Sisters, mainCharacter, 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 the central protagonist of the zombie apocalypse television series "Black Summer," around whom the show's survival narrative primarily revolves.
  • D. Rose
    Rose is a feminine given name commonly associated with the flower and often used in English-speaking countries.
  • E. Rose
    Rose is a fragrance and body care line by Roger & Gallet centered on the delicate, classic scent of roses.
  • 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: [The Magdalene Sisters, mainCharacter, Rose]
Generated description
Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rose
Target entity description: Rose is a young woman confined to a brutal Irish Magdalene asylum in the 2002 drama film "The Magdalene Sisters."
  • A. Rose
    Rose is a common English surname shared by many individuals, including the American basketball player Derrick Rose.
  • B. Rose
    Rose is the central protagonist of the zombie apocalypse television series "Black Summer," around whom the show's survival narrative primarily revolves.
  • 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 central character in Tommy Wiseau’s cult film "The Room," known for her manipulative relationship with the protagonist, Johnny.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc8866c81908821525b595715e2 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64da25bf88190889273bf41e2f154 completed May 2, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f65213ed84819086fda178aaf9e774 completed May 2, 2026, 7:35 p.m.
Created at: April 8, 2026, 9:57 p.m.