Triple

T2007792
Position Surface form Disambiguated ID Type / Status
Subject Royal Wedding E43623 entity
Predicate leadActress P6108 FINISHED
Object Jane Powell E163452 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: Jane Powell | Statement: [Royal Wedding, leadActress, Jane Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Powell
Context triple: [Royal Wedding, leadActress, Jane Powell]
  • A. Jane Powell chosen
    Jane Powell was an American actress, singer, and dancer best known as a 1940s–1950s MGM musical star, particularly for her role in "Seven Brides for Seven Brothers."
  • B. Janis Paige
    Janis Paige was an American film, stage, and television actress and singer best known for her work in 1940s–1950s Hollywood musicals and Broadway productions such as "The Pajama Game."
  • C. Audrey Harrison
    Audrey Harrison was the mother of British historian Charles Townshend, known for his work on modern Irish and British political history.
  • D. Betty Garrett
    Betty Garrett was an American actress, comedian, singer, and dancer known for her energetic performances in mid-20th-century Hollywood musicals and later in popular television sitcoms.
  • E. Cyd Charisse
    Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances in classic Hollywood musicals of the 1940s and 1950s.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d838f5c81908b59dcadd0014787 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:37 p.m.