Triple

T16785794
Position Surface form Disambiguated ID Type / Status
Subject The Fatal Hour E407969 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: [The Fatal Hour, starring, Marjorie Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Reynolds
Context triple: [The Fatal Hour, 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 Richards
    Marjorie Richards is known as the spouse of British radio astronomer and Nobel laureate Antony Hewish.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c56e355481908d92db0b871d58dd completed May 16, 2026, 7:28 p.m.
Created at: April 10, 2026, 5:22 a.m.