Triple

T14120560
Position Surface form Disambiguated ID Type / Status
Subject King Triton E339892 entity
Predicate parentOf P120 FINISHED
Object Andrina
Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
 E1081147 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: Andrina | Statement: [King Triton, parentOf, Andrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrina
Context triple: [King Triton, parentOf, Andrina]
  • A. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • B. Nadiža
    Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
  • C. Anja
    Anja is a feminine given name commonly used in various European countries, often considered a variant of Anna.
  • D. Adalinda
    Adalinda was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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: Andrina
Triple: [King Triton, parentOf, Andrina]
Generated description
Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrina
Target entity description: Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
  • A. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • B. Nadiža
    Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
  • C. Anja
    Anja is a feminine given name commonly used in various European countries, often considered a variant of Anna.
  • D. Adalinda
    Adalinda was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0f2dcc48190952ea89af5c809d7 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce1792ae48190a9379abff92f0f9e completed May 7, 2026, 7:01 p.m.
Created at: April 9, 2026, 10:22 p.m.