Triple

T14617693
Position Surface form Disambiguated ID Type / Status
Subject Eugène Eyraud E343127 entity
Predicate givenName P17 FINISHED
Object Eugène E40593 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: Eugène | Statement: [Eugène Eyraud, givenName, Eugène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugène
Context triple: [Eugène Eyraud, givenName, Eugène]
  • A. Eugène chosen
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb78c0308190908ba791fd8dc40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:25 a.m.