Triple

T1118762
Position Surface form Disambiguated ID Type / Status
Subject Matthew Gregory Lewis E11160 entity
Predicate wrote P2831 FINISHED
Object Rugantino
Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
E132272 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: Rugantino | Statement: [Matthew Gregory Lewis, wrote, Rugantino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rugantino
Context triple: [Matthew Gregory Lewis, wrote, Rugantino]
  • A. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Ariberto
    Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • 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: Rugantino
Triple: [Matthew Gregory Lewis, wrote, Rugantino]
Generated description
Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rugantino
Target entity description: Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
  • A. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Ariberto
    Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbb6ac481909c331a5eea7a5b38 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eab1e6481908c175e175ae4743a completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f6ced108190bf635a0d8b3b22a5 completed March 7, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69ac5feabffc819082f5d28f9628558f completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:43 p.m.