Triple

T8074376
Position Surface form Disambiguated ID Type / Status
Subject Marie-George Buffet E188455 entity
Predicate givenName P17 FINISHED
Object Marie-George E27948 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: Marie-George | Statement: [Marie-George Buffet, givenName, Marie-George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie-George
Context triple: [Marie-George Buffet, givenName, Marie-George]
  • A. Marie-Pierre
    Marie-Pierre is a French given name that can be used for any gender, often associated with notable French figures such as military leader Marie-Pierre Kœnig.
  • B. Louise-Marie
    Louise-Marie is a French royal given name notably borne by Princess Louise-Marie of Orléans, a 19th-century Belgian queen consort.
  • C. Marie Émilie
    Marie Émilie is a French noblewoman best known as the morganatic wife of Louis, Grand Dauphin of France, during the late 17th and early 18th centuries.
  • D. Marie chosen
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • E. Eugénie Savoye
    Eugénie Savoye was a French client and member of the Savoye family who commissioned Le Corbusier to design the iconic modernist Villa Savoye.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f000308190a55379f8bf67f0cd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.