Triple

T188851
Position Surface form Disambiguated ID Type / Status
Subject Pierre E3672 entity
Predicate hasRelatedName P3889 FINISHED
Object Pierre-Louis E27779 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: Pierre-Louis | Statement: [Pierre, hasRelatedName, Pierre-Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre-Louis
Context triple: [Pierre, hasRelatedName, Pierre-Louis]
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. Charles Léon
    Charles Léon was the illegitimate son of Napoleon Bonaparte and a French servant, known primarily for his connection to the emperor.
  • C. Jean-Baptiste
    Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
  • D. Henri Chrétien
    Henri Chrétien was a French astronomer and optical engineer best known for co-developing the Ritchey–Chrétien telescope design and pioneering wide-angle optical systems.
  • E. Jean-Pierre chosen
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34764cb5c8190b9095a38866387d9 completed Feb. 28, 2026, 7:52 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.