Triple

T14839446
Position Surface form Disambiguated ID Type / Status
Subject Rupprecht, Crown Prince of Bavaria E348919 entity
Predicate givenName P17 FINISHED
Object Rupprecht E348919 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: Rupprecht | Statement: [Rupprecht, Crown Prince of Bavaria, givenName, Rupprecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupprecht
Context triple: [Rupprecht, Crown Prince of Bavaria, givenName, Rupprecht]
  • A. Leberecht
    Leberecht is the given name of the 19th-century German astronomer Wilhelm Tempel, known for discovering several comets and asteroids.
  • B. Rupprecht, Crown Prince of Bavaria chosen
    Rupprecht, Crown Prince of Bavaria was the last heir apparent to the Bavarian throne, a senior German field marshal in World War I, and a prominent member of the royal House of Wittelsbach.
  • C. Lorenz Ferdinand
    Lorenz Ferdinand is one of the sons of former England and Manchester United footballer Rio Ferdinand.
  • D. Siegfried von Hohenlohe
    Siegfried von Hohenlohe was an Austro-Hungarian nobleman and high-ranking military officer who rose to senior command in the imperial army.
  • E. Lothar
    Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.