Triple

T15026322
Position Surface form Disambiguated ID Type / Status
Subject Frédéric Rimbaud E378224 entity
Predicate familyName P18 FINISHED
Object Rimbaud E1129324 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: Rimbaud | Statement: [Frédéric Rimbaud, familyName, Rimbaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rimbaud
Context triple: [Frédéric Rimbaud, familyName, Rimbaud]
  • A. Rimbaud chosen
    Rimbaud is a French surname most famously associated with the 19th-century poet Arthur Rimbaud.
  • B. Arthur Rimbaud
    Arthur Rimbaud was a revolutionary 19th-century French poet whose visionary, experimental verse made him a central figure of Symbolism and a major influence on modern literature.
  • C. Frédéric Rimbaud
    Frédéric Rimbaud was a French army officer best known as the father of the poet Arthur Rimbaud.
  • D. Verlaine
    Verlaine is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and location within the Arrondissement of Huy.
  • E. Vitalie Rimbaud
    Vitalie Rimbaud was the mother of French poet Arthur Rimbaud and a strict, devout woman who strongly influenced his early life and upbringing.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 2:58 a.m.