Triple

T18167462
Position Surface form Disambiguated ID Type / Status
Subject Mrs John Wood E434930 entity
Predicate name P16 FINISHED
Object Mrs John Wood 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: Mrs John Wood | Statement: [Mrs John Wood, name, Mrs John Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs John Wood
Context triple: [Mrs John Wood, name, Mrs John Wood]
  • A. Mrs John Wood chosen
    Mrs John Wood was a prominent 19th-century English actress and theatre manager known for her influential role in London’s theatrical scene.
  • B. Mrs Morris-Jones
    Mrs Morris-Jones is the mother of Colin Morris-Jones, a character referenced in the Harry Potter universe.
  • C. Sarah Woodward
    Sarah Woodward is known primarily as the daughter of the late English actor and singer Edward Woodward.
  • D. Mrs. J. M. Wainwright
    Mrs. J. M. Wainwright was the woman who sponsored and ceremonially christened the U.S. Navy destroyer USS Wainwright (DD-419).
  • E. Maud Lichfield-Woods
    Maud Lichfield-Woods was the British-born wife of German pacifist and Nobel Peace Prize laureate Carl von Ossietzky, known for supporting him during his persecution under the Nazi regime.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.