Triple

T17723965
Position Surface form Disambiguated ID Type / Status
Subject Adam Dirks E442411 entity
Predicate hasChild P369 FINISHED
Object Tobias Dirks 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: Tobias Dirks | Statement: [Adam Dirks, hasChild, Tobias Dirks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias Dirks
Context triple: [Adam Dirks, hasChild, Tobias Dirks]
  • A. Tobias Dirks chosen
    Tobias Dirks is the son of professional surfer and shark-attack survivor Bethany Hamilton and her husband Adam Dirks.
  • B. Kevin Riepl
    Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
  • C. Eric Wetzels
    Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
  • D. Jeffrey Wilcke
    Jeffrey Wilcke is a software developer best known as one of the original co-founders of Ethereum and an early core contributor to its implementation.
  • E. Patrick Fischler
    Patrick Fischler is an American character actor known for his memorable supporting roles in film and television, including appearances in projects like Mulholland Drive, Mad Men, and Lost.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4748900608190bf5ba04415edaffc completed April 19, 2026, 6:22 a.m.
Created at: April 10, 2026, 10:07 a.m.