Triple

T10240013
Position Surface form Disambiguated ID Type / Status
Subject Philipp von Hutten E243562 entity
Predicate givenName P17 FINISHED
Object Philipp E823423 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: Philipp | Statement: [Philipp von Hutten, givenName, Philipp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philipp
Context triple: [Philipp von Hutten, givenName, Philipp]
  • A. Philipp
    Philipp is the given name of Philipp Franz von Siebold, a 19th-century German physician and naturalist renowned for his pioneering studies of Japanese flora, fauna, and culture.
  • B. Philipp chosen
    Philipp is a male given name of Greek origin, commonly used in various European countries and historically borne by numerous nobles and royals.
  • C. Philipp
    Philipp is the German given name of Philip Melanchthon, the influential 16th-century German Lutheran reformer and collaborator of Martin Luther.
  • D. Philipp
    Philipp is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician.
  • E. Philipp
    Philipp was the given name of the 19th-century German botanist and explorer Carl Friedrich Philipp von Martius, renowned for his extensive studies of Brazilian flora.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21e27f08190b956d351a75c7c52 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f776464881908957e1ac4b49d936 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:24 a.m.