Triple

T18169818
Position Surface form Disambiguated ID Type / Status
Subject Charles Nicolas Fabvier E434994 entity
Predicate givenName P17 FINISHED
Object Nicolas 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: Nicolas | Statement: [Charles Nicolas Fabvier, givenName, Nicolas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas
Context triple: [Charles Nicolas Fabvier, givenName, Nicolas]
  • A. Nicolas
    Nicolas is a character in the surreal French romantic drama film "Mood Indigo" (2013), which is based on Boris Vian's novel "Froth on the Daydream."
  • B. Nicolas Lud
    Nicolas Lud is a notable alumnus of the Gymnasium Vosagense, recognized for his achievements after attending this French secondary school.
  • C. Nicholas chosen
    Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df555af081908a2f12bce6a13f56 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.