Triple

T12266211
Position Surface form Disambiguated ID Type / Status
Subject Gustav III of Sweden E292353 entity
Predicate givenName P17 FINISHED
Object Gustav E140654 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: Gustav | Statement: [Gustav III of Sweden, givenName, Gustav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustav
Context triple: [Gustav III of Sweden, 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 (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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b7e7454819099d89db93d0fc1ea completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:52 p.m.