Triple

T18785556
Position Surface form Disambiguated ID Type / Status
Subject Gustav Magnus E459364 entity
Predicate givenName P17 FINISHED
Object Gustav 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: Gustav | Statement: [Gustav Magnus, givenName, Gustav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustav
Context triple: [Gustav Magnus, givenName, Gustav]
  • A. Gustav chosen
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • D. Ludwig
    Ludwig is a masculine given name of Germanic origin, historically associated with nobility and rulers and used in various forms across many European languages.
  • E. Ludwig
    Ludwig is a 1973 historical drama film by Italian director Luchino Visconti that portrays the life and tragic decline of Bavaria’s King Ludwig II.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978154ac819096356d2a488b45f0 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.