Triple

T21569925
Position Surface form Disambiguated ID Type / Status
Subject Elisa Claro E532257 entity
Predicate familyName P18 FINISHED
Object Claro
Claro is a common Spanish and Portuguese surname borne by various individuals and families across the Iberian world and Latin America.
E1491344 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: Claro | Statement: [Elisa Claro, familyName, Claro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claro
Context triple: [Elisa Claro, familyName, Claro]
  • A. Cliqua
    Cliqua is a filmmaking duo known for directing stylish, high-concept music videos for major pop and hip-hop artists.
  • B. CLARI
    CLARI is the UN/LOCODE identifier for Chacalluta International Airport, the main airport serving Arica in northern Chile.
  • C. In the Clear
    "In the Clear" is a song by American rock band Foo Fighters, featured on their 2014 album and TV project *Sonic Highways*.
  • D. Clair
    Clair is a small Canadian community in New Brunswick known for its location on the Saint John River opposite Fort Kent, Maine, and its role as a local border crossing point.
  • E. Clair
    Clair is a feminine given name most famously associated with the character Clair Huxtable from the television series "The Cosby Show."
  • 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: Claro
Triple: [Elisa Claro, familyName, Claro]
Generated description
Claro is a common Spanish and Portuguese surname borne by various individuals and families across the Iberian world and Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claro
Target entity description: Claro is a common Spanish and Portuguese surname borne by various individuals and families across the Iberian world and Latin America.
  • A. Cliqua
    Cliqua is a filmmaking duo known for directing stylish, high-concept music videos for major pop and hip-hop artists.
  • B. CLARI
    CLARI is the UN/LOCODE identifier for Chacalluta International Airport, the main airport serving Arica in northern Chile.
  • C. In the Clear
    "In the Clear" is a song by American rock band Foo Fighters, featured on their 2014 album and TV project *Sonic Highways*.
  • D. Clair
    Clair is a small Canadian community in New Brunswick known for its location on the Saint John River opposite Fort Kent, Maine, and its role as a local border crossing point.
  • E. Clair
    Clair is a feminine given name most famously associated with the character Clair Huxtable from the television series "The Cosby Show."
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cb9718819094fc95b25df68bd1 completed April 27, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f6707578819095e5ac0312066df6 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f71df0308190b5953a76da60c6d4 completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f80784648190ae073b4db90032c1 completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:30 p.m.