Triple

T14766045
Position Surface form Disambiguated ID Type / Status
Subject Jax Briggs E346998 entity
Predicate creator P184 FINISHED
Object John Tobias E732854 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: John Tobias | Statement: [Jax Briggs, creator, John Tobias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tobias
Context triple: [Jax Briggs, creator, John Tobias]
  • A. John Tobias chosen
    John Tobias is an American video game designer and artist best known as the co-creator of the Mortal Kombat fighting game franchise.
  • B. Tobias Wilson
    Tobias Wilson is a recurring character in the animated television series "The Amazing World of Gumball," known as a colorful, athletic student at Elmore Junior High.
  • C. Tobias Michael
    Tobias Michael was a 17th-century German composer and Thomaskantor in Leipzig, known for continuing the rich Lutheran musical tradition established by his predecessors.
  • D. Tobias Read
    Tobias Read is an American politician who has served as Oregon's State Treasurer, overseeing the state's financial management and public investment programs.
  • E. Jonathan Oldbuck
    Jonathan Oldbuck is a fictional, eccentric antiquary and amateur historian who serves as the central figure in Sir Walter Scott’s novel "The Antiquary."
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf68d94819093567bc630f67b60 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.