Triple

T22206940
Position Surface form Disambiguated ID Type / Status
Subject Fernand Labori E548835 entity
Predicate givenName P17 FINISHED
Object Fernand 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: Fernand | Statement: [Fernand Labori, givenName, Fernand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernand
Context triple: [Fernand Labori, 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. Pierre-Paul
    Pierre-Paul is a French given name most notably borne by Pierre-Paul Riquet, the 17th-century engineer who designed and built the Canal du Midi.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2936a481909aa84c7983ed49ee completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.