Triple

T17298107
Position Surface form Disambiguated ID Type / Status
Subject Dame Pattie Menzies E419964 entity
Predicate name P16 FINISHED
Object Pattie Menzies E419964 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: Pattie Menzies | Statement: [Dame Pattie Menzies, name, Pattie Menzies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pattie Menzies
Context triple: [Dame Pattie Menzies, name, Pattie Menzies]
  • A. Dame Pattie Menzies chosen
    Dame Pattie Menzies was an Australian public figure and the wife of long-serving Prime Minister Sir Robert Menzies, noted for her prominent role in national ceremonial and charitable activities.
  • B. Patricia Morison
    Patricia Morison was an American stage and film actress and singer best known for her star-making role in the original Broadway production of the musical "Kiss Me, Kate."
  • C. Helen Menzies
    Helen Menzies was the wife of British Admiral Sir Bertram Ramsay, a key naval commander during World War II.
  • D. Marie Windsor
    Marie Windsor was an American character actress best known for her tough, sultry roles in film noir and B-movies during the 1940s and 1950s.
  • E. Kate O'Mara
    Kate O'Mara was a British actress best known for her glamorous, often villainous roles in television dramas such as Dynasty and Doctor Who.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f82788819088ea796850552297 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.