Triple

T19073445
Position Surface form Disambiguated ID Type / Status
Subject The Rape of Lucrece E466847 entity
Predicate mainCharacter P1183 FINISHED
Object Tarquin
Tarquin is the Roman prince whose assault on the virtuous Lucrece sets off the tragic and political events in Shakespeare’s narrative poem "The Rape of Lucrece."
 E1356695 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: Tarquin | Statement: [The Rape of Lucrece, mainCharacter, Tarquin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarquin
Context triple: [The Rape of Lucrece, mainCharacter, Tarquin]
  • A. Tarquin Pack
    Tarquin Pack is a film producer best known for his work on the superhero action-comedy sequel "Kick-Ass 2."
  • B. Tarquin Studios
    Tarquin Studios is a professional recording studio known for producing music for artists such as the band Alligator.
  • C. Thacker
    Thacker is a surname most notably associated with Charles P. Thacker, a pioneering computer engineer and key figure in the development of modern personal computing.
  • D. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • E. Tuker
    Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
  • 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: Tarquin
Triple: [The Rape of Lucrece, mainCharacter, Tarquin]
Generated description
Tarquin is the Roman prince whose assault on the virtuous Lucrece sets off the tragic and political events in Shakespeare’s narrative poem "The Rape of Lucrece."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarquin
Target entity description: Tarquin is the Roman prince whose assault on the virtuous Lucrece sets off the tragic and political events in Shakespeare’s narrative poem "The Rape of Lucrece."
  • A. Tarquin Pack
    Tarquin Pack is a film producer best known for his work on the superhero action-comedy sequel "Kick-Ass 2."
  • B. Tarquin Studios
    Tarquin Studios is a professional recording studio known for producing music for artists such as the band Alligator.
  • C. Thacker
    Thacker is a surname most notably associated with Charles P. Thacker, a pioneering computer engineer and key figure in the development of modern personal computing.
  • D. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • E. Tuker
    Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e2ccbc8190bf5a2da915c81a03 completed April 20, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d35e763c8190b516b9d2bb507524 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d47474f481909e630db929ce6287 completed May 14, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05d51338a08190b16ac354d2ef1dba completed May 14, 2026, 1:58 p.m.
Created at: April 10, 2026, 12:04 p.m.