Triple

T1682218
Position Surface form Disambiguated ID Type / Status
Subject Carmen E36362 entity
Predicate mainCharacter P1183 FINISHED
Object Don José
Don José is the tragic soldier protagonist of Georges Bizet’s opera "Carmen," whose obsessive love for the title character leads to his downfall.
E189266 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 José | Statement: [Carmen, mainCharacter, Don José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don José
Context triple: [Carmen, mainCharacter, Don José]
  • A. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • B. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • 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 José
Triple: [Carmen, mainCharacter, Don José]
Generated description
Don José is the tragic soldier protagonist of Georges Bizet’s opera "Carmen," whose obsessive love for the title character leads to his downfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don José
Target entity description: Don José is the tragic soldier protagonist of Georges Bizet’s opera "Carmen," whose obsessive love for the title character leads to his downfall.
  • A. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • B. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • E. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad7298ee288190b5e2b7d2ccb17a91 completed March 8, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69ad7305c7b48190a8a443dbc20ec9b2 completed March 8, 2026, 1 p.m.
Created at: March 4, 2026, 7:29 p.m.