Triple

T19939897
Position Surface form Disambiguated ID Type / Status
Subject Giona E479279 entity
Predicate relatedName P3889 FINISHED
Object Jonas 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: Jonas | Statement: [Giona, relatedName, Jonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonas
Context triple: [Giona, relatedName, Jonas]
  • A. Jonas chosen
    Jonas is a masculine given name of Hebrew origin, commonly used in various European countries and often associated with the biblical figure Jonah.
  • B. Jonas
    Jonas is a surname of German and Jewish origin borne by various notable individuals across fields such as theology, philosophy, and the arts.
  • C. Jonas Earll Jr.
    Jonas Earll Jr. was a 19th-century New York politician who served in various state and federal roles, including in the administration of the Erie Canal system.
  • D. Jonas Melcher
    Jonas Melcher is the husband of British biologist and science communicator Sarah Darwin, a descendant of naturalist Charles Darwin.
  • E. Jonas Nay
    Jonas Nay is a German actor best known internationally for his leading role as an East German spy in the television drama series Deutschland 83 and its sequels.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a19d77c819088bce99c94568d0d completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.