Triple

T2352280
Position Surface form Disambiguated ID Type / Status
Subject Much Ado About Nothing (1993 film) E47474 entity
Predicate character P662 FINISHED
Object Don John
Don John is the sullen, scheming villain of Shakespeare’s *Much Ado About Nothing*, whose plots drive much of the play’s conflict.
E259334 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: Don John | Statement: [Much Ado About Nothing (1993 film), character, Don John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don John
Context triple: [Much Ado About Nothing (1993 film), character, Don John]
  • A. Bernardo
    Bernardo is a masculine given name of Romance-language origin, equivalent to the Germanic name Bernhard and commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • B. Brabantio
    Brabantio is a Venetian senator and the protective father of Desdemona in William Shakespeare's tragedy "Othello."
  • C. Claudio
    Claudio is a masculine given name of Italian and Spanish origin, commonly used as a variant of the name Claude.
  • D. Angelo
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • E. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • 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: Don John
Triple: [Much Ado About Nothing (1993 film), character, Don John]
Generated description
Don John is the sullen, scheming villain of Shakespeare’s *Much Ado About Nothing*, whose plots drive much of the play’s conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don John
Target entity description: Don John is the sullen, scheming villain of Shakespeare’s *Much Ado About Nothing*, whose plots drive much of the play’s conflict.
  • A. Bernardo
    Bernardo is a masculine given name of Romance-language origin, equivalent to the Germanic name Bernhard and commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • B. Brabantio
    Brabantio is a Venetian senator and the protective father of Desdemona in William Shakespeare's tragedy "Othello."
  • C. Claudio
    Claudio is a masculine given name of Italian and Spanish origin, commonly used as a variant of the name Claude.
  • D. Angelo
    Angelo is a masculine given name of Greek origin, commonly used in various cultures and often associated with the meaning "angel" or "messenger."
  • E. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9631c9a481909a3051ac06afdca7 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae97f3e3348190824617b882a98146 completed March 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae98f57268819086c14006df46b794 completed March 9, 2026, 9:55 a.m.
Created at: March 4, 2026, 7:54 p.m.