Triple

T9767893
Position Surface form Disambiguated ID Type / Status
Subject Maria Christina Gerhard E237043 entity
Predicate givenName P17 FINISHED
Object Maria Christina E797010 NE FINISHED

How this triple was built (2 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: Maria Christina | Statement: [Maria Christina Gerhard, givenName, Maria Christina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Christina
Context triple: [Maria Christina Gerhard, givenName, Maria Christina]
  • A. Maria Christina
    Maria Christina, known as Princess Christina of the Netherlands, was a Dutch royal and youngest daughter of Queen Juliana and Prince Bernhard who became known for her work as a singer and music educator.
  • B. Maria Christina chosen
    Maria Christina is a feminine given name of Latin origin, historically borne by various European noblewomen and royals.
  • C. Maria Karoline
    Maria Karoline is a female given name of European origin, often used in German-speaking countries.
  • D. Christina Augusta
    Christina Augusta, better known as Queen Christina of Sweden, was the 17th-century Swedish monarch renowned for her intellectual pursuits, unconventional lifestyle, and abdication of the throne.
  • E. Maria Christina of Habsburg
    Maria Christina of Habsburg was an Archduchess of Austria from the powerful Habsburg dynasty who became Princess of Transylvania through her politically significant but troubled marriage to Prince Sigismund Báthory in the late 16th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e519c7a88190b8776b4af4908d1f completed April 5, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:25 p.m.