Triple

T2709677
Position Surface form Disambiguated ID Type / Status
Subject Albrecht von Haller E59828 entity
Predicate givenName P17 FINISHED
Object Albrecht E73267 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: Albrecht | Statement: [Albrecht von Haller, givenName, Albrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albrecht
Context triple: [Albrecht von Haller, givenName, Albrecht]
  • A. Albrecht chosen
    Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
  • B. Julius Echter von Mespelbrunn
    Julius Echter von Mespelbrunn was a 16th–17th century Prince-Bishop of Würzburg and Counter-Reformation leader known for his major role in expanding and reforming the University of Würzburg.
  • C. Aribert
    Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
  • D. Jakob von Eltz-Rübenach
    Jakob von Eltz-Rübenach was a 16th-century German nobleman and ecclesiastical prince who served as Archbishop-Elector of Trier within the Holy Roman Empire.
  • E. Gebhard
    Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb683092c8190859e92acadfb820c completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.