Triple

T13273857
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Fear E316135 entity
Predicate starring P1507 FINISHED
Object Marjorie Reynolds E412687 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: Marjorie Reynolds | Statement: [Ministry of Fear, starring, Marjorie Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Reynolds
Context triple: [Ministry of Fear, starring, Marjorie Reynolds]
  • A. Marjorie Reynolds chosen
    Marjorie Reynolds was an American film and television actress best known for her roles in classic 1940s movies and early TV series.
  • B. 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.
  • C. Marjorie Fowler
    Marjorie Fowler was an American film editor known for her work on numerous Hollywood productions from the 1950s through the 1970s.
  • D. Marjorie Weaver
    Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
  • E. 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.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 9, 2026, 9:26 p.m.