Triple

T19012220
Position Surface form Disambiguated ID Type / Status
Subject Arletta E465255 entity
Predicate hasAlternativeName P39 FINISHED
Object Arletta
Arletta is a feminine given name of likely European origin, used for personal naming.
E1355297 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: Arletta | Statement: [Arletta, hasAlternativeName, Arletta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arletta
Context triple: [Arletta, hasAlternativeName, Arletta]
  • A. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • B. Arnella
    Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
  • C. Allanetta
    Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
  • D. Arthurette
    Arthurette is a small rural community located in Victoria County in the Canadian province of New Brunswick.
  • E. Adella
    Adella is one of King Triton’s mermaid daughters and a supporting character in Disney’s The Little Mermaid franchise.
  • 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: Arletta
Triple: [Arletta, hasAlternativeName, Arletta]
Generated description
Arletta is a feminine given name of likely European origin, used for personal naming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arletta
Target entity description: Arletta is a feminine given name of likely European origin, used for personal naming.
  • A. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • B. Arnella
    Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
  • C. Allanetta
    Allanetta is a genus of New World silversides, small ray-finned fishes in the family Atherinopsidae found in marine and coastal waters.
  • D. Arthurette
    Arthurette is a small rural community located in Victoria County in the Canadian province of New Brunswick.
  • E. Adella
    Adella is one of King Triton’s mermaid daughters and a supporting character in Disney’s The Little Mermaid franchise.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a9bac8819093f9af57000667b0 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be4c71588190abb73abc2da57187 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05c0318e84819094180a7edfe3ce86 completed May 14, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a05c0ccda288190bba6278e3c8f8109 completed May 14, 2026, 12:32 p.m.
Created at: April 10, 2026, 12:02 p.m.