Triple

T19678512
Position Surface form Disambiguated ID Type / Status
Subject John Wilkes E472517 entity
Predicate spouse P13 FINISHED
Object Mary Mead 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: Mary Mead | Statement: [John Wilkes, spouse, Mary Mead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Mead
Context triple: [John Wilkes, spouse, Mary Mead]
  • A. Mary Mead chosen
    Mary Mead was the wife of 18th-century English radical journalist and politician John Wilkes.
  • B. Meg Merrilies
    Meg Merrilies is a mysterious and prophetic gypsy woman in Sir Walter Scott’s novel "Guy Mannering," known for her dramatic presence and crucial role in the story’s unfolding events.
  • C. Bunny Yeager
    Bunny Yeager was an influential American pin-up model turned photographer, best known for her iconic 1950s glamour and bikini photographs that helped popularize models like Bettie Page.
  • D. Molly Beauchamp
    Molly Beauchamp is a fictional character in William Faulkner’s literature, known as the wife of Lucas Beauchamp in his Yoknapatawpha County stories.
  • E. Belle Squire
    Belle Squire was an American suffragist and activist best known as a co-founder of Chicago’s pioneering Alpha Suffrage Club, one of the first Black women’s suffrage organizations in the United States.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bda8348190b0c7816c50aca923 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.