Triple

T13160322
Position Surface form Disambiguated ID Type / Status
Subject Émile Schuffenecker E312706 entity
Predicate hasGivenName P17 FINISHED
Object Émile E68781 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: Émile | Statement: [Émile Schuffenecker, hasGivenName, Émile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Émile
Context triple: [Émile Schuffenecker, hasGivenName, Émile]
  • A. Émile chosen
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0971008190869e9de710f4c579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf2ae688190b3484989791977ce completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.