Triple

T21493723
Position Surface form Disambiguated ID Type / Status
Subject Johannes Hubertus van Mook E530300 entity
Predicate hasGivenName P17 FINISHED
Object Hubertus 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: Hubertus | Statement: [Johannes Hubertus van Mook, hasGivenName, Hubertus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubertus
Context triple: [Johannes Hubertus van Mook, hasGivenName, Hubertus]
  • A. Hubertus chosen
    Hubertus is a masculine given name of Germanic origin, commonly used in various European countries.
  • B. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • C. Gereon
    Gereon is a masculine given name of German origin, historically borne by several saints and nobles.
  • D. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • E. 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.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea567244819091863350fedae3ae completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:23 p.m.