Triple

T20693173
Position Surface form Disambiguated ID Type / Status
Subject Sonatas and Interludes E508600 entity
Predicate dedicatedTo P500 FINISHED
Object Marjorie Fulton 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: Marjorie Fulton | Statement: [Sonatas and Interludes, dedicatedTo, Marjorie Fulton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Fulton
Context triple: [Sonatas and Interludes, dedicatedTo, Marjorie Fulton]
  • A. Marjorie Fulton chosen
    Marjorie Fulton was an American violinist known for her concert performances and teaching career in the mid-20th century.
  • B. Marjorie Fowler
    Marjorie Fowler was an American film editor known for her work on numerous Hollywood productions from the 1950s through the 1970s.
  • C. Marjorie Nelson
    Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
  • D. Marjorie Winfield
    Marjorie Winfield is the wholesome, small-town teenage heroine of the nostalgic musical film "By the Light of the Silvery Moon," navigating family life and young romance in early 20th-century America.
  • E. Marjorie Reynolds
    Marjorie Reynolds was an American film and television actress best known for her roles in classic 1940s movies and early TV series.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10fc4088190ab71ef078600954b completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:09 p.m.