Triple

T8107724
Position Surface form Disambiguated ID Type / Status
Subject Micaëla E189267 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Don José E189266 NE FINISHED

How this triple was built (2 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: [Micaëla, associatedWithCharacter, Don José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don José
Context triple: [Micaëla, associatedWithCharacter, Don José]
  • A. Don José chosen
    Don José is the tragic soldier protagonist of Georges Bizet’s opera "Carmen," whose obsessive love for the title character leads to his downfall.
  • B. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • C. Fermín
    Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
  • D. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc94198fdc8190bcf3c6285e52fdd3 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.