Triple

T8374949
Position Surface form Disambiguated ID Type / Status
Subject Helmuth Weidling E197552 entity
Predicate givenName P17 FINISHED
Object Helmuth E255461 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: Helmuth | Statement: [Helmuth Weidling, givenName, Helmuth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helmuth
Context triple: [Helmuth Weidling, givenName, Helmuth]
  • A. Helmuth chosen
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • B. Heinrici
    Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
  • C. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • D. 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.
  • E. Hermann
    Hermann is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by various notable figures.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.