Triple

T9472286
Position Surface form Disambiguated ID Type / Status
Subject Symonds E228420 entity
Predicate hasVariant P455 FINISHED
Object Simmonds E600966 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: Simmonds | Statement: [Symonds, hasVariant, Simmonds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simmonds
Context triple: [Symonds, hasVariant, Simmonds]
  • A. Simmonds chosen
    Simmonds is a surname most notably associated with Millicent Simmonds, a deaf American actress recognized for her roles in films such as "Wonderstruck" and "A Quiet Place."
  • B. Simmons
    Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
  • C. Simonds
    Simonds is a surname most notably associated with Canadian Lieutenant-General Guy Simonds, a prominent military commander during the Second World War.
  • D. Jake Simmonds
    Jake Simmonds is a character from the Doctor Who universe who appears in the two-part story involving the rise of the Cybermen in a parallel Earth.
  • E. Greg Simmonds
    Greg Simmonds is a wealthy and influential arms dealer who becomes the target of a covert espionage operation in the action-comedy film "Operation Fortune: Ruse de Guerre."
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:54 p.m.