Triple

T10810668
Position Surface form Disambiguated ID Type / Status
Subject By the Light of the Silvery Moon E255090 entity
Predicate starring P1507 FINISHED
Object Mary Wickes E430179 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: Mary Wickes | Statement: [By the Light of the Silvery Moon, starring, Mary Wickes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Wickes
Context triple: [By the Light of the Silvery Moon, starring, Mary Wickes]
  • A. Mary Wickes chosen
    Mary Wickes was an American character actress known for her sharp-tongued, comedic roles in film and television across several decades.
  • B. Marion Hutton
    Marion Hutton was an American singer and actress best known as a featured vocalist with the Glenn Miller Orchestra during the big band era.
  • C. Maud Ellen Dixon
    Maud Ellen Dixon was the wife of New Zealand physicist and science administrator Ernest Marsden.
  • D. Maxine Albro
    Maxine Albro was an American muralist and painter associated with the New Deal era, best known for her vibrant frescoes and contributions to public art in San Francisco.
  • E. Alyce Mayo
    Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b7bfac8190b6ae34144376d6ad completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:18 p.m.