Triple

T19741131
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Curchod E474120 entity
Predicate alsoKnownAs P39 FINISHED
Object Suzanne Necker 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: Suzanne Necker | Statement: [Suzanne Curchod, alsoKnownAs, Suzanne Necker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzanne Necker
Context triple: [Suzanne Curchod, alsoKnownAs, Suzanne Necker]
  • A. Suzanne Bourgeois
    Suzanne Bourgeois is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Bourgeois.
  • B. Suzanne Curchod chosen
    Suzanne Curchod was an 18th-century Swiss salonnière and intellectual, renowned for hosting influential literary circles in Paris and for her marriage to French finance minister Jacques Necker.
  • C. Suzanne Flon
    Suzanne Flon was a distinguished French actress of stage and screen, celebrated for her nuanced character roles and long, acclaimed career in French cinema and theatre.
  • D. Suzanne Krajewski
    Suzanne Krajewski is an American woman best known as the longtime wife of parody musician "Weird Al" Yankovic.
  • E. Suzanne Buirgy
    Suzanne Buirgy is a film producer known for her work on major animated features such as "Home" and other DreamWorks Animation projects.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.