Triple

T20100399
Position Surface form Disambiguated ID Type / Status
Subject Marie Christine Anna Agnes Hedwig Ida von Reibnitz E496517 entity
Predicate givenName P17 FINISHED
Object Marie Christine NE NERFINISHED

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: Marie Christine | Statement: [Marie Christine Anna Agnes Hedwig Ida von Reibnitz, givenName, Marie Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Christine
Context triple: [Marie Christine Anna Agnes Hedwig Ida von Reibnitz, givenName, Marie Christine]
  • A. Marie Christine chosen
    Marie Christine, better known as Princess Michael of Kent, is a member of the British royal family, an author, and the wife of Prince Michael of Kent, a first cousin of King Charles III.
  • B. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • C. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • D. Marie
    Marie is a fictional character from the American sitcom "Vinnie & Bobby," which followed two construction workers navigating life and relationships in Chicago.
  • E. Marie
    Marie is the young protagonist of Alexandre Dumas’s fairy-tale novella "Histoire d’un casse-noisette," an adaptation of the Nutcracker story.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:26 p.m.