Triple

T7286551
Position Surface form Disambiguated ID Type / Status
Subject Grete Hermann E163883 entity
Predicate familyName P18 FINISHED
Object Hermann E234352 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: Hermann | Statement: [Grete Hermann, familyName, Hermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermann
Context triple: [Grete Hermann, familyName, 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 German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • D. Hermann
    Hermann is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by various notable figures.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb532adc8190bcbbf31bb54383fb completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a80bb48190bd4c9013764345f4 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 2:59 p.m.