Triple

T9089272
Position Surface form Disambiguated ID Type / Status
Subject Maria Josepha Amalia of Saxony E217837 entity
Predicate givenName P17 FINISHED
Object Josepha
Josepha is the given name of Maria Josepha Amalia of Saxony, a 19th-century Saxon princess who became Queen consort of Spain as the third wife of King Ferdinand VII.
E777586 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: Josepha | Statement: [Maria Josepha Amalia of Saxony, givenName, Josepha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josepha
Context triple: [Maria Josepha Amalia of Saxony, givenName, Josepha]
  • A. Josefa
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • B. Terézia
    Terézia is the given name of the Hungarian-born German writer and translator Terézia Mora, known for her award-winning novels and screenplays.
  • C. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • D. Josepha Weber
    Josepha Weber was an 18th-century German soprano best known for originating the role of the Queen of the Night in Mozart’s opera "The Magic Flute."
  • E. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • 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: Josepha
Triple: [Maria Josepha Amalia of Saxony, givenName, Josepha]
Generated description
Josepha is the given name of Maria Josepha Amalia of Saxony, a 19th-century Saxon princess who became Queen consort of Spain as the third wife of King Ferdinand VII.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Josepha
Target entity description: Josepha is the given name of Maria Josepha Amalia of Saxony, a 19th-century Saxon princess who became Queen consort of Spain as the third wife of King Ferdinand VII.
  • A. Josefa
    Josefa is a feminine given name of Spanish origin, historically borne by notable figures such as Mexican independence heroine Josefa Ortiz de Domínguez.
  • B. Terézia
    Terézia is the given name of the Hungarian-born German writer and translator Terézia Mora, known for her award-winning novels and screenplays.
  • C. Mária
    Mária is the Hungarian and Slovak form of the given name Mary, commonly used in Central and Eastern Europe.
  • D. Josepha Weber
    Josepha Weber was an 18th-century German soprano best known for originating the role of the Queen of the Night in Mozart’s opera "The Magic Flute."
  • E. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017e0d3cc8190b3e92b0a8f18489f completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:14 p.m.