Triple

T17637050
Position Surface form Disambiguated ID Type / Status
Subject James D. La Belle E430122 entity
Predicate familyName P18 FINISHED
Object La Belle 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: La Belle | Statement: [James D. La Belle, familyName, La Belle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Belle
Context triple: [James D. La Belle, familyName, La Belle]
  • A. La Belle chosen
    La Belle was a 17th-century French barque used by explorer René-Robert Cavelier, Sieur de La Salle during his ill-fated expedition to establish a colony near the mouth of the Mississippi River.
  • B. La Bella
    La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
  • C. Le Beau
    Le Beau is a courtier in Shakespeare’s comedy "As You Like It," serving as a messenger and observer who reports on events at Duke Frederick’s court.
  • D. Belladère
    Belladère is a commune and border town in central Haiti, located near the frontier with the Dominican Republic.
  • E. Mignon
    Mignon is a mysterious, ethereal child of Italian origin who becomes one of the most poignant and symbolically rich figures in Goethe’s novel "Wilhelm Meister’s Apprenticeship."
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de1e0888190a3c8bbd451aed2fb completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.