Triple

T19234988
Position Surface form Disambiguated ID Type / Status
Subject Jennie Wade House E480969 entity
Predicate namedAfter P63 FINISHED
Object Jennie Wade 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: Jennie Wade | Statement: [Jennie Wade House, namedAfter, Jennie Wade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennie Wade
Context triple: [Jennie Wade House, namedAfter, Jennie Wade]
  • A. Jennie Wade chosen
    Jennie Wade was the only civilian killed during the Battle of Gettysburg in the American Civil War, later becoming a symbol of the conflict’s impact on noncombatants.
  • B. Jenny Wade
    Jenny Wade is an American actress known for her roles in film and television, including a supporting part in the romantic comedy "No Reservations."
  • C. Jennifer Wade
    Jennifer Wade is a British jewelry designer and former model best known as the fourth wife of comedian and actor John Cleese.
  • D. Rebekah Mary Wade
    Rebekah Mary Wade, better known as Rebekah Brooks, is a British media executive and former tabloid editor who rose to prominence as editor of The Sun and News of the World and became a central figure in the UK phone-hacking scandal.
  • E. Laura Jennings
    Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faec6d0c8190b90cb1bb3160a847 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.