Triple

T14294665
Position Surface form Disambiguated ID Type / Status
Subject The Invasion E354406 entity
Predicate featuresVillain P23263 FINISHED
Object Tobias Vaughn E378482 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: Tobias Vaughn | Statement: [The Invasion, featuresVillain, Tobias Vaughn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobias Vaughn
Context triple: [The Invasion, featuresVillain, Tobias Vaughn]
  • A. Tobias Vaughn chosen
    Tobias Vaughn is a villainous industrialist and secret ally of the Cybermen in the Doctor Who serial "The Invasion."
  • B. Tobias Strickland
    Tobias Strickland is a person notable enough to be recognized as a bearer of the surname Strickland.
  • C. 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.
  • 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. 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.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.