Triple

T6711797
Position Surface form Disambiguated ID Type / Status
Subject Joan Fontaine E153160 entity
Predicate parent P120 FINISHED
Object Lilian Fontaine E245107 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: Lilian Fontaine | Statement: [Joan Fontaine, parent, Lilian Fontaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilian Fontaine
Context triple: [Joan Fontaine, parent, Lilian Fontaine]
  • A. Lilian Fontaine chosen
    Lilian Fontaine was a British-born actress and the mother of famed Hollywood stars Olivia de Havilland and Joan Fontaine.
  • B. Lilly Texier
    Lilly Texier was the first wife of French composer Claude Debussy, known primarily for her tumultuous marriage to the influential Impressionist musician.
  • C. Charlotte Hugonin
    Charlotte Hugonin was the wife of prominent 19th-century Scottish geologist Sir Roderick Murchison.
  • D. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • E. Evangeline Bellefontaine
    Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a6c302881908fe805ef6e82465f completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2:06 p.m.