Triple

T13294042
Position Surface form Disambiguated ID Type / Status
Subject Henri-Edmond-Joseph E316632 entity
Predicate componentName P5298 FINISHED
Object Henri E50663 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: Henri | Statement: [Henri-Edmond-Joseph, componentName, Henri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henri
Context triple: [Henri-Edmond-Joseph, componentName, Henri]
  • A. Henri chosen
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Francois
    Francois is the given first name of South African rugby union scrum-half Faf de Klerk.
  • E. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d8ee2081908428339216c43b47 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.