Triple

T18191866
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie E435554 entity
Predicate hasVariant P455 FINISHED
Object Jean Marie E435554 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: Jean Marie | Statement: [Jean-Marie, hasVariant, Jean Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Marie
Context triple: [Jean-Marie, hasVariant, Jean Marie]
  • A. Jean-Marie chosen
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • B. Jeanne Marie Martin
    Jeanne Marie Martin is known as the former wife of actor and author Christopher Kennedy Lawford, a member of the prominent Kennedy family.
  • C. Marie Janson
    Marie Janson was a pioneering Belgian socialist politician, known as the first woman to serve in the Belgian Senate.
  • D. Jeanne Carmen
    Jeanne Carmen was an American model, pin-up girl, and B-movie actress known for her roles in low-budget films of the 1950s and her colorful Hollywood social life.
  • E. Jeanne Pollet
    Jeanne Pollet is the inquisitive young woman in Claude Chabrol’s psychological thriller "Merci pour le chocolat," whose investigation into her past uncovers dark family secrets.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac5f644881908ba6087343a0a22e completed May 12, 2026, 10:40 p.m.
Created at: April 10, 2026, 10:31 a.m.