Triple

T1787389
Position Surface form Disambiguated ID Type / Status
Subject Shakira E39422 entity
Predicate familyName P18 FINISHED
Object Ripoll
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
 E213415 NE FINISHED

How this triple was built (4 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: Ripoll | Statement: [Shakira, familyName, Ripoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ripoll
Context triple: [Shakira, familyName, Ripoll]
  • A. Lleida
    Lleida is a historic city in western Catalonia, Spain, known for its medieval Seu Vella cathedral and role as a regional agricultural and commercial center.
  • B. Girona
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • C. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • D. Figueres
    Figueres is a town in Catalonia, Spain, best known as the birthplace of surrealist artist Salvador Dalí and home to the Dalí Theatre-Museum.
  • E. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ripoll
Triple: [Shakira, familyName, Ripoll]
Generated description
Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ripoll
Target entity description: Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
  • A. Lleida
    Lleida is a historic city in western Catalonia, Spain, known for its medieval Seu Vella cathedral and role as a regional agricultural and commercial center.
  • B. Girona
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • C. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • D. Figueres
    Figueres is a town in Catalonia, Spain, best known as the birthplace of surrealist artist Salvador Dalí and home to the Dalí Theatre-Museum.
  • E. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • F. None of above. chosen

Provenance (5 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaceae088190a5ee93e6b46360cc completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb8a0a64819087e4505089e93093 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec6fcaac8190b43d0cd1aa613c95 completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:32 p.m.