Triple

T4386982
Position Surface form Disambiguated ID Type / Status
Subject Gustav Schwarzenegger E99266 entity
Predicate name P16 FINISHED
Object Gustav Schwarzenegger E99266 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 Schwarzenegger | Statement: [Gustav Schwarzenegger, name, Gustav Schwarzenegger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustav Schwarzenegger
Context triple: [Gustav Schwarzenegger, name, Gustav Schwarzenegger]
  • A. Gustav Schwarzenegger chosen
    Gustav Schwarzenegger was an Austrian police officer and World War II veteran best known as the father of actor and former California governor Arnold Schwarzenegger.
  • B. Arnold Schwarzenegger
    Arnold Schwarzenegger is an Austrian-American actor, former professional bodybuilder, and politician who served as governor of California and became a major Hollywood action star.
  • C. Aurelia Jadrny Schwarzenegger
    Aurelia Jadrny Schwarzenegger was the Austrian mother of actor and former California governor Arnold Schwarzenegger.
  • D. Rocky Wirtz
    Rocky Wirtz was an American businessman best known for revitalizing the NHL’s Chicago Blackhawks franchise and leading it through a modern era of on-ice success and increased popularity.
  • E. Jeff Buchanan
    Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e52a0488819081fe724d592d8fdf completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:19 p.m.