Triple

T11663083
Position Surface form Disambiguated ID Type / Status
Subject Toninho E277169 entity
Predicate hasVariant P455 FINISHED
Object Tonho
Tonho is a Portuguese diminutive nickname, commonly used as an affectionate or informal form of given names like Antônio.
 E939086 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: Tonho | Statement: [Toninho, hasVariant, Tonho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tonho
Context triple: [Toninho, hasVariant, Tonho]
  • A. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • B. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • C. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • D. Menendo
    Menendo is a medieval Iberian given name of likely Germanic origin that served as the root for the patronymic surname Menéndez.
  • E. Tatumbla
    Tatumbla is a small town and municipality located in the central Honduran highlands within the Francisco Morazán Department.
  • 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: Tonho
Triple: [Toninho, hasVariant, Tonho]
Generated description
Tonho is a Portuguese diminutive nickname, commonly used as an affectionate or informal form of given names like Antônio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tonho
Target entity description: Tonho is a Portuguese diminutive nickname, commonly used as an affectionate or informal form of given names like Antônio.
  • A. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • B. Lotso
    Lotso is the strawberry-scented teddy bear who serves as the main antagonist in Pixar's animated film Toy Story 3.
  • C. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • D. Menendo
    Menendo is a medieval Iberian given name of likely Germanic origin that served as the root for the patronymic surname Menéndez.
  • E. Tatumbla
    Tatumbla is a small town and municipality located in the central Honduran highlands within the Francisco Morazán Department.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882dbf2481909ffcae5f80cd494f completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb316ba948190a39dfc80d6245b17 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9b59f448190b97ecd05c843ce78 completed April 27, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:39 p.m.