Triple

T20673342
Position Surface form Disambiguated ID Type / Status
Subject 18th Academy Awards E508088 entity
Predicate bestActressWinner P8116 FINISHED
Object Joan Crawford 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: Joan Crawford | Statement: [18th Academy Awards, bestActressWinner, Joan Crawford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Crawford
Context triple: [18th Academy Awards, bestActressWinner, Joan Crawford]
  • A. Joan Crawford chosen
    Joan Crawford was a legendary American film actress and Hollywood star whose career spanned from the silent era to the 1970s, earning her an Academy Award and enduring icon status.
  • B. Lana Turner
    Lana Turner was a glamorous American film actress and iconic Hollywood star of the 1940s and 1950s, renowned for her dramatic roles and enduring screen presence.
  • C. Audrey Wyler
    Audrey Wyler is a central character in Stephen King’s novel "Desperation," known for her possession and manipulation by the malevolent entity Tak.
  • D. Vivian Dandridge
    Vivian Dandridge was an American singer and actress, best known as a member of the Dandridge Sisters vocal group and for her work in early Hollywood entertainment.
  • E. Gloria Grahame
    Gloria Grahame was an American film actress known for her sultry screen presence and acclaimed roles in classic Hollywood films noir and dramas of the 1940s and 1950s.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cca8808190a60ee28c7ea46412 completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.