Triple

T8872204
Position Surface form Disambiguated ID Type / Status
Subject Angela E211185 entity
Predicate hasDiminutive P456 FINISHED
Object Angy
Angy is a diminutive or affectionate nickname commonly used for the given name Angela.
 E763127 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: Angy | Statement: [Angela, hasDiminutive, Angy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angy
Context triple: [Angela, hasDiminutive, Angy]
  • A. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • B. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • C. Anglona
    Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
  • D. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • E. Astangu
    Astangu is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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: Angy
Triple: [Angela, hasDiminutive, Angy]
Generated description
Angy is a diminutive or affectionate nickname commonly used for the given name Angela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angy
Target entity description: Angy is a diminutive or affectionate nickname commonly used for the given name Angela.
  • A. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • B. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • C. Anglona
    Anglona is a historical and geographical subregion in northern Sardinia, Italy, known for its rural landscapes, medieval villages, and traditional Sardinian culture.
  • D. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • E. Astangu
    Astangu is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.