Triple

T6711166
Position Surface form Disambiguated ID Type / Status
Subject Harald E153143 entity
Predicate hasVariant P455 FINISHED
Object Haroldo
Haroldo is a given name, primarily used in Portuguese and Spanish-speaking countries, that derives from the Germanic name Harald.
E9958 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: Haroldo | Statement: [Harald, hasVariant, Haroldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haroldo
Context triple: [Harald, hasVariant, Haroldo]
  • A. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • C. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • D. Aldo
    Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • E. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • 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: Haroldo
Triple: [Harald, hasVariant, Haroldo]
Generated description
Haroldo is a given name, primarily used in Portuguese and Spanish-speaking countries, that derives from the Germanic name Harald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haroldo
Target entity description: Haroldo is a given name, primarily used in Portuguese and Spanish-speaking countries, that derives from the Germanic name Harald.
  • A. Harold chosen
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • B. Haroldson
    Haroldson is the distinctive given name of American oil tycoon and political activist H. L. Hunt.
  • C. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • D. Aldo
    Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • E. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af8a8bc81908a04683dbf3d7793 completed March 27, 2026, 10:55 p.m.
NEDg Description generation batch_69c70ba06a5c81909b65b52d21d37104 completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70c755054819087d0db6f94d69eae completed March 27, 2026, 11:02 p.m.
Created at: March 27, 2026, 2:06 p.m.