Triple

T7371305
Position Surface form Disambiguated ID Type / Status
Subject Annabella of Scotland E170009 entity
Predicate givenName P17 FINISHED
Object Annabella
Annabella is a feminine given name of Latin origin, often associated with historical Scottish nobility and used in various European cultures.
 E43014 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: Annabella | Statement: [Annabella of Scotland, givenName, Annabella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annabella
Context triple: [Annabella of Scotland, givenName, Annabella]
  • A. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • B. Nadja
    Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
  • C. Annabella Azín
    Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
  • D. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • E. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • 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: Annabella
Triple: [Annabella of Scotland, givenName, Annabella]
Generated description
Annabella is a feminine given name of Latin origin, often associated with historical Scottish nobility and used in various European cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annabella
Target entity description: Annabella is a feminine given name of Latin origin, often associated with historical Scottish nobility and used in various European cultures.
  • A. Annabella chosen
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • B. Nadja
    Nadja is a seminal surrealist novel by André Breton that blends autobiography, fiction, and dreamlike encounters to explore madness, love, and the nature of reality.
  • C. Annabella Azín
    Annabella Azín is an Ecuadorian physician and politician known for her public health work and role in national politics.
  • D. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • E. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f182df5c81908964fbaa3f8ec790 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c711788190806987567dbc9942 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8035151a481908a33c1ecd12c2f6d completed March 28, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_69c803aea0808190a5208c02a0db1187 completed March 28, 2026, 4:37 p.m.
Created at: March 27, 2026, 3:07 p.m.