Triple

T15155356
Position Surface form Disambiguated ID Type / Status
Subject Global Optimism E362057 entity
Predicate foundedBy P104 FINISHED
Object Christiana Figueres E789327 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: Christiana Figueres | Statement: [Global Optimism, foundedBy, Christiana Figueres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christiana Figueres
Context triple: [Global Optimism, foundedBy, Christiana Figueres]
  • A. Christiana Figueres chosen
    Christiana Figueres is a Costa Rican diplomat and former UN climate chief known for her pivotal role in securing the Paris Agreement on climate change.
  • B. Patricia Espinosa
    Patricia Espinosa is a Mexican diplomat and former UN climate chief known for her leadership in international climate change negotiations.
  • C. María Ruiz-Tagle Jiménez
    María Ruiz-Tagle Jiménez was the wife of Chilean president Eduardo Frei Montalva and served as Chile’s First Lady during his administration.
  • D. Javiera Carrera
    Javiera Carrera was a prominent Chilean patriot and political figure who played a key role in the country’s early independence movement.
  • E. Sofía Correa
    Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88419108190860319a9bcab1eef completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.