Triple

T20959062
Position Surface form Disambiguated ID Type / Status
Subject Peter Ustinov E516187 entity
Predicate notableWork P4 FINISHED
Object Krumnagel 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: Krumnagel | Statement: [Peter Ustinov, notableWork, Krumnagel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krumnagel
Context triple: [Peter Ustinov, notableWork, Krumnagel]
  • A. Krumnagel chosen
    Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
  • B. Ochsenkopf
    Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
  • C. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • D. Eichelbaum
    Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
  • E. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6e50988190a564d2aaf1a9bc54 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:29 p.m.