Triple

T18555655
Position Surface form Disambiguated ID Type / Status
Subject Bartholomäus Ziegenbalg E453496 entity
Predicate givenName P17 FINISHED
Object Bartholomäus NE NERFINISHED

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: Bartholomäus | Statement: [Bartholomäus Ziegenbalg, givenName, Bartholomäus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartholomäus
Context triple: [Bartholomäus Ziegenbalg, givenName, Bartholomäus]
  • A. Bartholomaeus chosen
    Bartholomaeus is a Latin given name of biblical origin that serves as the root form for various later names such as Bartolomeo.
  • B. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • C. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Johannes
    Johannes is the given first name of Hubertus van Mook, a Dutch colonial administrator who served as Governor-General of the Dutch East Indies during and after World War II.
  • E. Johannes
    Johannes is a masculine given name of Hebrew origin, related to names like John and Johan and common in various European languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53806046481908efbbe6909b2c68b completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.