Triple

T15300623
Position Surface form Disambiguated ID Type / Status
Subject Love Is Where It Falls E365776 entity
Predicate depicts P1581 FINISHED
Object Peggy Ramsay E1180809 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: Peggy Ramsay | Statement: [Love Is Where It Falls, depicts, Peggy Ramsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy Ramsay
Context triple: [Love Is Where It Falls, depicts, Peggy Ramsay]
  • A. Peggy Ramsay chosen
    Peggy Ramsay was a renowned British theatrical agent celebrated for championing major postwar playwrights and shaping modern British theatre.
  • B. Peggy Scott
    Peggy Scott is a young, ambitious Black writer and activist navigating the rigid social hierarchies of 1880s New York in the television series "The Gilded Age."
  • C. Peggy Palmer
    Peggy Palmer is one of the children of legendary American professional golfer Arnold Palmer.
  • D. Peggy Cripps
    Peggy Cripps was a British writer and philanthropist best known for her cross-cultural marriage to Ghanaian politician Joe Appiah and her work promoting racial understanding and social justice.
  • E. Peggy Holmes
    Peggy Holmes is an American film director and choreographer known for her work on animated features such as "Luck" and several DisneyToon Studios films.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0368869f8819098cf9e7801e37548 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f372f7c8190ba04b8bd13bff95c completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 3:15 a.m.