Triple

T2965792
Position Surface form Disambiguated ID Type / Status
Subject Adolphe, Grand Duke of Luxembourg E80159 entity
Predicate givenName P17 FINISHED
Object Adolphe E133913 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: Adolphe | Statement: [Adolphe, Grand Duke of Luxembourg, givenName, Adolphe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adolphe
Context triple: [Adolphe, Grand Duke of Luxembourg, givenName, Adolphe]
  • A. Adolphe chosen
    Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
  • B. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • C. Léopold
    Léopold is a given name of French origin historically used in Europe, including by figures such as the naturalist Georges Cuvier.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad995a28e88190a4d6b9ef2c0d8e61 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360881c9081909cb4c5e7b93d7b78 completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 2:58 p.m.