Triple

T22163594
Position Surface form Disambiguated ID Type / Status
Subject Sex and Lucia E547731 entity
Predicate hasCharacter P2308 FINISHED
Object Lucía NE NERFINISHED

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: Lucía | Statement: [Sex and Lucia, hasCharacter, Lucía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucía
Context triple: [Sex and Lucia, hasCharacter, Lucía]
  • A. Julita
    Julita is a small municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
  • B. Julita
    Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
  • C. Lucia chosen
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • D. La Madre
    La Madre is a Colombian television drama series featuring María Cecilia Botero in a prominent role.
  • E. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2f2f90819080b5bb73a6052c24 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.