Triple

T9724997
Position Surface form Disambiguated ID Type / Status
Subject Fernand Bonnier de La Chapelle E235585 entity
Predicate givenName P17 FINISHED
Object Fernand E338517 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: Fernand | Statement: [Fernand Bonnier de La Chapelle, givenName, Fernand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernand
Context triple: [Fernand Bonnier de La Chapelle, givenName, Fernand]
  • A. Fernand chosen
    Fernand is a given name, primarily used in French and other Romance-language contexts, that corresponds to the name Ferdinand.
  • B. Henri Rouart
    Henri Rouart was a French industrialist, art collector, and painter closely associated with the Impressionist movement and its circle of artists.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7838448190a7b5b259765a0d95 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.