Triple

T16967128
Position Surface form Disambiguated ID Type / Status
Subject David Wooster E411569 entity
Predicate spouse P13 FINISHED
Object Mary Clap Wooster E1221159 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: Mary Clap Wooster | Statement: [David Wooster, spouse, Mary Clap Wooster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Clap Wooster
Context triple: [David Wooster, spouse, Mary Clap Wooster]
  • A. Mary Clap Wooster chosen
    Mary Clap Wooster was the wife of American Revolutionary War general David Wooster and a member of a prominent Connecticut family in the 18th century.
  • B. Rita Wooster
    Rita Wooster was the wife of American World War II flying ace Edward "Butch" O'Hare.
  • C. Mary Tuffley
    Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • D. Mary Tuffley
    Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
  • E. Madeline Stanhope
    Madeline Stanhope is a fictional character from Anthony Trollope’s novel "Barchester Towers," known for her beauty, manipulative charm, and scandalous reputation under her married name, Madeline Neroni.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a548b48190b87468630f3e3209 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.