Triple

T16220382
Position Surface form Disambiguated ID Type / Status
Subject John Louis I, Prince of Anhalt-Zerbst E393707 entity
Predicate givenName P17 FINISHED
Object John Louis E944364 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: John Louis | Statement: [John Louis I, Prince of Anhalt-Zerbst, givenName, John Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Louis
Context triple: [John Louis I, Prince of Anhalt-Zerbst, givenName, John Louis]
  • A. John Louis chosen
    John Louis was a 17th-century German count from the House of Nassau who ruled the small principality of Nassau-Hadamar within the Holy Roman Empire.
  • B. John Marsh
    John Marsh was the husband of American novelist Margaret Mitchell, best known for supporting her during the creation of "Gone with the Wind."
  • C. Louis Alexander
    Louis Alexander was a music educator and founder known for establishing the New York College of Music.
  • D. John George
    John George was a prolific American character actor of the silent and early sound film era, often cast in supporting and ethnic roles.
  • E. Robert James
    Robert James is an American businessman best known as the founder of the financial services firm Raymond James Financial.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.