Triple

T8756869
Position Surface form Disambiguated ID Type / Status
Subject Cymbeline E208091 entity
Predicate hasFemaleProtagonist P21355 FINISHED
Object Imogen
Imogen is the virtuous and resilient heroine of Shakespeare’s play "Cymbeline," renowned for her loyalty, courage, and emotional depth.
E756236 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: Imogen | Statement: [Cymbeline, hasFemaleProtagonist, Imogen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imogen
Context triple: [Cymbeline, hasFemaleProtagonist, Imogen]
  • A. Imogen
    Imogen is the given name of English singer, songwriter, and producer Imogen Heap, known for her innovative electronic and experimental pop music.
  • B. Aemilia
    Aemilia was a prominent Dutch warship that served as the flagship of the Dutch fleet during the Battle of the Downs in 1639.
  • C. Viola
    Viola is a feminine given name of Latin origin, famously borne by acclaimed American actress Viola Davis.
  • D. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • E. Ondine
    Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
  • 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: Imogen
Triple: [Cymbeline, hasFemaleProtagonist, Imogen]
Generated description
Imogen is the virtuous and resilient heroine of Shakespeare’s play "Cymbeline," renowned for her loyalty, courage, and emotional depth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imogen
Target entity description: Imogen is the virtuous and resilient heroine of Shakespeare’s play "Cymbeline," renowned for her loyalty, courage, and emotional depth.
  • A. Imogen
    Imogen is the given name of English singer, songwriter, and producer Imogen Heap, known for her innovative electronic and experimental pop music.
  • B. Aemilia
    Aemilia was a prominent Dutch warship that served as the flagship of the Dutch fleet during the Battle of the Downs in 1639.
  • C. Viola
    Viola is a feminine given name of Latin origin, famously borne by acclaimed American actress Viola Davis.
  • D. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • E. Ondine
    Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddabdc88190ba50ef1833a815d0 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf519175248190b53c8958cfeeebfa completed April 3, 2026, 5:35 a.m.
NEDg Description generation batch_69cf52f0886881909ceb9fbe54f84d11 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf53bc19fc81908f43c3fa29bae021 completed April 3, 2026, 5:44 a.m.
Created at: March 30, 2026, 6:40 p.m.