Triple

T1301378
Position Surface form Disambiguated ID Type / Status
Subject John Wilkinson E27769 entity
Predicate nickname P55 FINISHED
Object Iron Mad Wilkinson E31140 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: Iron Mad Wilkinson | Statement: [John Wilkinson, nickname, Iron Mad Wilkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iron Mad Wilkinson
Context triple: [John Wilkinson, nickname, Iron Mad Wilkinson]
  • A. Wilkinson chosen
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • B. Iron Gwazi
    Iron Gwazi is a hybrid steel-wood roller coaster at Busch Gardens Tampa Bay known for its extreme height, speed, and intense airtime elements.
  • C. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • D. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • E. The Whitworth
    The Whitworth is a prominent art gallery and museum in Manchester, England, renowned for its collections of fine art, textiles, and wallpapers and its integration with the surrounding park.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.