Triple

T23455455
Position Surface form Disambiguated ID Type / Status
Subject Catalina Sandino Moreno E567910 entity
Predicate givenName P17 FINISHED
Object Catalina 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: Catalina | Statement: [Catalina Sandino Moreno, givenName, Catalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catalina
Context triple: [Catalina Sandino Moreno, givenName, Catalina]
  • A. Catalina chosen
    Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
  • B. Santa Elena
    Santa Elena was a 16th-century Spanish colonial settlement on present-day Parris Island, South Carolina, that served as the capital of Spanish Florida for a time.
  • C. Santa Elena
    Santa Elena is a small highland town in Costa Rica known as the main gateway to the Monteverde Cloud Forest and a hub for ecotourism.
  • D. Santa Elena
    Santa Elena is a small town in western Belize, located near San Ignacio and serving as a local commercial and residential hub in the Cayo District.
  • E. Santa Elena
    Santa Elena is a coastal Ecuadorian city that serves as the administrative and economic center of the surrounding province, known for its nearby beaches and tourism.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a696e6c48190a7159292cfe3362f completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.