Triple

T16152300
Position Surface form Disambiguated ID Type / Status
Subject Stephen McNally E391941 entity
Predicate performedIn P795 FINISHED
Object The Lady Gambles E792892 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: The Lady Gambles | Statement: [Stephen McNally, performedIn, The Lady Gambles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lady Gambles
Context triple: [Stephen McNally, performedIn, The Lady Gambles]
  • A. The Lady Gambles chosen
    The Lady Gambles is a 1949 American film noir drama about a woman's descent into gambling addiction, directed by Michael Gordon and starring Barbara Stanwyck.
  • B. The Lady Pays Off
    The Lady Pays Off is a 1951 romantic comedy film starring Linda Darnell as a schoolteacher who takes an unusual bet that leads to love and personal transformation.
  • C. Your Excellency, Lady Luck
    "Your Excellency, Lady Luck" is a popular song from the classic Soviet film "White Sun of the Desert," known for its humorous, ironic take on fate and fortune.
  • D. A Lady of Chance
    A Lady of Chance is a 1928 silent romantic drama film starring Norma Shearer and directed by Sidney Franklin.
  • E. The Lady Takes a Chance
    The Lady Takes a Chance is a 1943 romantic comedy film starring Jean Arthur and John Wayne, known for its lighthearted story of an impulsive city woman who falls for a rodeo cowboy.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d98d08c8190a15d4aee40d47220 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.