Triple

T8107674
Position Surface form Disambiguated ID Type / Status
Subject Don José E189266 entity
Predicate fiancée P17846 FINISHED
Object Micaëla E189267 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: Micaëla | Statement: [Don José, fiancée, Micaëla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micaëla
Context triple: [Don José, fiancée, Micaëla]
  • A. Micaëla chosen
    Micaëla is a virtuous and compassionate young woman in Bizet’s opera "Carmen," serving as a moral and emotional counterpoint to the title character.
  • B. Zaida of Seville
    Zaida of Seville was an 11th-century Muslim princess from al-Andalus who became the Christian consort of King Alfonso VI of León and Castile and a notable figure in the cultural and political exchanges between Islamic and Christian Iberia.
  • C. Pilar
    Pilar is the introspective female protagonist of Paulo Coelho’s novel "By the River Piedra I Sat Down and Wept," whose spiritual and emotional journey drives the story.
  • D. Pilar
    Pilar is a coastal town on Siargao Island in the Philippines, known for its fishing communities and access to popular surfing and eco-tourism spots.
  • E. Pilar
    Pilar is a Spanish feminine given name, often associated with religious devotion to Our Lady of the Pillar and traditionally used in Spain and Spanish-speaking countries.
  • 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.