Triple

T18195403
Position Surface form Disambiguated ID Type / Status
Subject Hermann Billung E435648 entity
Predicate givenName P17 FINISHED
Object Hermann 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: Hermann | Statement: [Hermann Billung, givenName, Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann
Context triple: [Hermann Billung, givenName, Hermann]
  • A. Hermann
    Hermann is the obsessive, tormented protagonist of Alexander Pushkin’s novella "The Queen of Spades," whose fixation on a secret winning card formula leads to his psychological and moral downfall.
  • B. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • C. Hermann chosen
    Hermann is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by various notable figures.
  • D. Hermann
    Hermann is a fictional character appearing in the work "City of Death."
  • E. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d2ad5881909d846f3851ac9ec9 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.