Triple

T12810631
Position Surface form Disambiguated ID Type / Status
Subject Kelvin Harrison Jr. E306260 entity
Predicate notableWork P4 FINISHED
Object Chevalier E448063 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: Chevalier | Statement: [Kelvin Harrison Jr., notableWork, Chevalier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chevalier
Context triple: [Kelvin Harrison Jr., notableWork, Chevalier]
  • A. Chevalier chosen
    Chevalier is a biographical drama film about the life of 18th-century composer and violinist Joseph Bologne, Chevalier de Saint-Georges.
  • B. Chevalier
    Chevalier is a knightly rank of distinction within various French orders of merit, signifying an honored but typically entry-level grade of chivalric or civil recognition.
  • C. Chevalier de Paris
    Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
  • D. Seigneux
    Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Cavelier
    Cavelier is the French family name of the 17th-century explorer René-Robert Cavelier, Sieur de La Salle, known for his expeditions in North America and exploration of the Mississippi River.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec89eb081909915af6e2216e0a2 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.