Triple

T14547382
Position Surface form Disambiguated ID Type / Status
Subject Miguel Barnet E341323 entity
Predicate familyName P18 FINISHED
Object Barnet
Barnet is a surname most notably associated with Cuban writer and ethnographer Miguel Barnet, known for his influential works on Afro-Cuban culture and testimonial literature.
 E626105 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: Barnet | Statement: [Miguel Barnet, familyName, Barnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barnet
Context triple: [Miguel Barnet, familyName, Barnet]
  • A. Barnet
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • B. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • D. Hillingdon
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • E. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • 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: Barnet
Triple: [Miguel Barnet, familyName, Barnet]
Generated description
Barnet is a surname most notably associated with Cuban writer and ethnographer Miguel Barnet, known for his influential works on Afro-Cuban culture and testimonial literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barnet
Target entity description: Barnet is a surname most notably associated with Cuban writer and ethnographer Miguel Barnet, known for his influential works on Afro-Cuban culture and testimonial literature.
  • A. Barnet chosen
    Barnet is a suburban area and parliamentary constituency in North London, England, known for its residential character and role in Greater London politics.
  • B. Hounslow
    Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
  • C. Haringey
    Haringey is a London borough in north London that includes areas such as Tottenham, Wood Green, and Muswell Hill.
  • D. Hillingdon
    Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
  • E. Harlesden
    Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
  • F. None of above.

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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ebdf9481909f4d2da1ad31099c completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0306dc4d1481908bce52d757effc59 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a03075d0df4819093e20f299f0824a8 completed May 12, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0307c1a95881909547178762490619 completed May 12, 2026, 10:58 a.m.
Created at: April 10, 2026, 1:23 a.m.