Triple

T22030702
Position Surface form Disambiguated ID Type / Status
Subject Liliane Bettencourt E544076 entity
Predicate givenName P17 FINISHED
Object Liliane 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: Liliane | Statement: [Liliane Bettencourt, givenName, Liliane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liliane
Context triple: [Liliane Bettencourt, givenName, Liliane]
  • A. Liliane chosen
    Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
  • B. Lucienne
    Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
  • C. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • D. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • E. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ed0cb08190aead0838cc62934c completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.