Triple

T8756870
Position Surface form Disambiguated ID Type / Status
Subject Cymbeline E208091 entity
Predicate ImogenAlsoKnownAs P39 FINISHED
Object Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
 E754626 NE FINISHED

How this triple was built (5 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: Innogen | Statement: [Cymbeline, ImogenAlsoKnownAs, Innogen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Innogen
Context triple: [Cymbeline, ImogenAlsoKnownAs, Innogen]
  • A. Innoventions
    Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
  • B. Insitro
    Insitro is a biotechnology company that uses machine learning and high-throughput biology to accelerate drug discovery and development.
  • C. Morgex
    Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
  • D. Innosight
    Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
  • E. Nautilus Biotechnology
    Nautilus Biotechnology is a life sciences company developing next-generation, high-throughput proteomics platforms to enable comprehensive analysis of the human proteome for research and drug discovery.
  • 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: Innogen
Triple: [Cymbeline, ImogenAlsoKnownAs, Innogen]
Generated description
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Innogen
Target entity description: Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
  • A. Innoventions
    Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
  • B. Insitro
    Insitro is a biotechnology company that uses machine learning and high-throughput biology to accelerate drug discovery and development.
  • C. Morgex
    Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
  • D. Innosight
    Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
  • E. Nautilus Biotechnology
    Nautilus Biotechnology is a life sciences company developing next-generation, high-throughput proteomics platforms to enable comprehensive analysis of the human proteome for research and drug discovery.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ImogenAlsoKnownAs
Context triple: [Cymbeline, ImogenAlsoKnownAs, Innogen]
  • A. protagonistAlsoKnownAs
    Indicates that an entity serving as a protagonist is alternatively referred to by another name or alias.
  • B. alsoKnownAs chosen
    Indicates that one entity is an alternative name, alias, or designation for another entity.
  • C. الأم
    Indicates a maternal relationship where one entity is the mother of another entity.
  • D. honoursPersonBirthName
    Indicates that an entity formally recognizes or commemorates a person using the name they were given at birth.
  • E. monarchsDaughterOf
    Indicates that one entity is the daughter of another entity who holds or held the position of monarch.
  • F. None of above.

Provenance (6 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_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
PD Predicate disambiguation batch_69cc5c160dac8190b4aeb4bf0529de52 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:40 p.m.