Triple

T3891480
Position Surface form Disambiguated ID Type / Status
Subject Nina Simone E88070 entity
Predicate residence P75 FINISHED
Object Liberia E6007 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: Liberia | Statement: [Nina Simone, residence, Liberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberia
Context triple: [Nina Simone, residence, Liberia]
  • A. Liberia chosen
    Liberia is a West African nation founded by formerly enslaved people from the United States, known for being Africa’s first modern republic and maintaining close historical ties with the U.S.
  • B. Sierra Leone
    Sierra Leone is a West African nation on the Atlantic coast, known for its diamond resources, diverse cultures, and history as a center for freed slaves.
  • C. Guinea
    Guinea is a West African country on the Atlantic coast known for its rich mineral resources, diverse ethnic groups, and role as a major producer of bauxite.
  • D. Central African Republic
    The Central African Republic is a landlocked, resource-rich but politically unstable country in Central Africa that has experienced recurrent conflict and humanitarian crises.
  • E. Côte d'Ivoire
    Côte d'Ivoire is a West African country on the Gulf of Guinea known for its cocoa production, diverse cultures, and economic prominence in the region.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb237748190a4d41b76e8efd0ba completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562821c3c81909805cb877288405b completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:21 p.m.