Triple

T20983821
Position Surface form Disambiguated ID Type / Status
Subject John Wilkes Booth E516837 entity
Predicate familyName P18 FINISHED
Object Booth 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: Booth | Statement: [John Wilkes Booth, familyName, Booth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Booth
Context triple: [John Wilkes Booth, familyName, Booth]
  • A. Booth chosen
    Booth is a common English surname historically associated with notable figures in theater, politics, and American history.
  • B. Booth
    Booth is a small village in West Yorkshire, England, situated in the Calder Valley near Luddenden Brook and known for its rural setting and traditional stone-built houses.
  • C. Boothby Graffoe
    Boothby Graffoe is a small village and civil parish in the North Kesteven district of Lincolnshire, England.
  • D. Booth Colman
    Booth Colman was an American character actor known for his extensive work in film and television from the mid-20th century onward, often appearing in science fiction and historical roles.
  • E. The Buchanan
    The Buchanan is the historic ancestral seat and estate associated with Clan Buchanan in Scotland.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe1474c8190912b90da0973f99f completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.