Triple

T3876110
Position Surface form Disambiguated ID Type / Status
Subject Royal Palace of Naples E92503 entity
Predicate hasStatueOf P1646 FINISHED
Object Joachim Murat E89640 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: Joachim Murat | Statement: [Royal Palace of Naples, hasStatueOf, Joachim Murat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Murat
Context triple: [Royal Palace of Naples, hasStatueOf, Joachim Murat]
  • A. Joachim Murat chosen
    Joachim Murat was a French cavalry commander and Marshal of the Empire under Napoleon who became King of Naples in the early 19th century.
  • B. Jean Murat
    Jean Murat was a French film actor known for his roles in early 20th-century cinema and his marriage to actress Annabella.
  • C. Michel Ney
    Michel Ney was a prominent French military commander and marshal of the Napoleonic Wars, renowned for his bravery and leadership in major battles across Europe.
  • D. Jean-Andoche Junot
    Jean-Andoche Junot was a French general and close confidant of Napoleon Bonaparte, noted for his service in the Revolutionary and Napoleonic Wars, including major campaigns in Spain and Russia.
  • E. Jérôme Bonaparte
    Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533788a70819089d028cee84a7e87 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:20 p.m.