Triple

T11059255
Position Surface form Disambiguated ID Type / Status
Subject Jonas Savimbi E261461 entity
Predicate givenName P17 FINISHED
Object Jonas E19949 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: Jonas | Statement: [Jonas Savimbi, givenName, Jonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonas
Context triple: [Jonas Savimbi, givenName, Jonas]
  • A. Jonas
    Jonas is a surname of German and Jewish origin borne by various notable individuals across fields such as theology, philosophy, and the arts.
  • B. 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.
  • 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 (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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.