Triple

T19697886
Position Surface form Disambiguated ID Type / Status
Subject Susanna Shakespeare E473010 entity
Predicate spouse P13 FINISHED
Object John Hall — 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: John Hall | Statement: [Susanna Shakespeare, spouse, John Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hall
Context triple: [Susanna Shakespeare, spouse, John Hall]
  • A. John Hall chosen
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. John Hall
    John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
  • C. John Hall
    John Hall was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • D. John Hall
    John Hall is the protagonist of the 1990 horror film "Graveyard Shift," a drifter who takes a job at a decrepit textile mill where he confronts deadly supernatural threats.
  • E. John Hall
    John Hall is an American musician, songwriter, and environmental activist best known as a co-founder of the band Orleans and a leader in the anti-nuclear movement.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b2baec81909ee2cd6ead632836 completed April 20, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:46 p.m.