Triple

T15053224
Position Surface form Disambiguated ID Type / Status
Subject Eberhard Diepgen E379419 entity
Predicate givenName P17 FINISHED
Object Eberhard E90908 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: Eberhard | Statement: [Eberhard Diepgen, givenName, Eberhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eberhard
Context triple: [Eberhard Diepgen, givenName, Eberhard]
  • A. Eberhard chosen
    Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
  • B. Ottheinrich
    Ottheinrich was a 16th-century German prince of the Wittelsbach dynasty who ruled as Elector Palatine and was known for his support of the Protestant Reformation and the arts.
  • C. 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.
  • D. Lothar
    Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • E. Eberhard of Franconia
    Eberhard of Franconia was a 10th-century German nobleman and duke who played a key role in the early political struggles of the Holy Roman Empire, notably opposing King Otto I.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bdeee48190949b0fe63eb6a21a completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.