Triple

T13909868
Position Surface form Disambiguated ID Type / Status
Subject Gottfried Wolfgang E334460 entity
Predicate familyName P18 FINISHED
Object Wolfgang E227033 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: Wolfgang | Statement: [Gottfried Wolfgang, familyName, Wolfgang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfgang
Context triple: [Gottfried Wolfgang, familyName, Wolfgang]
  • A. Wolfgang
    Wolfgang is a recurring villain and boss character in the Skylanders video game series, known for his werewolf-like appearance and musical, sound-based attacks.
  • B. Wolfgang chosen
    Wolfgang is the given name of Johann Wolfgang von Goethe, the renowned German writer, poet, and statesman.
  • C. Christoph
    Christoph is the given name of Christoph Willibald Gluck, the influential 18th-century composer known for reforming opera.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31e42208190a859cd4bbfb3dd1a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:16 p.m.