Triple

T12509693
Position Surface form Disambiguated ID Type / Status
Subject Blanchard E299041 entity
Predicate isFamilyNameOf P18 FINISHED
Object Paul Blanchard E986871 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: Paul Blanchard | Statement: [Blanchard, isFamilyNameOf, Paul Blanchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Blanchard
Context triple: [Blanchard, isFamilyNameOf, Paul Blanchard]
  • A. Paul Blanchard chosen
    Paul Blanchard is a notable individual recognized for bearing the surname Blanchard.
  • B. Charles L’Eplattenier
    Charles L’Eplattenier was a Swiss painter, decorative artist, and influential art teacher whose nature-inspired style helped shape the early artistic development of architect Le Corbusier.
  • C. Joseph Maréchal
    Joseph Maréchal was a Belgian Jesuit philosopher and theologian whose synthesis of Thomism and Kantian transcendental philosophy profoundly shaped 20th-century Catholic thought.
  • D. Christian Girard
    Christian Girard was a mountaineer known for participating in the first ascent of the Swiss Alpine peak Lauteraarhorn.
  • E. Paul Meurice
    Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557243788190854208113600324e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.