Triple

T580046
Position Surface form Disambiguated ID Type / Status
Subject Clark Gable E15035 entity
Predicate workedWith P398 FINISHED
Object Carole Lombard E51669 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: Carole Lombard | Statement: [Clark Gable, workedWith, Carole Lombard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carole Lombard
Context triple: [Clark Gable, workedWith, Carole Lombard]
  • A. Carole Lombard chosen
    Carole Lombard was a celebrated American film actress of the 1930s, best known for her sharp wit and leading roles in classic screwball comedies.
  • B. Josephine Dunn
    Josephine Dunn was an American film and stage actress of the late silent and early sound era, known for her roles in musical and dramatic pictures of the 1920s and 1930s.
  • C. Ginger Rogers
    Ginger Rogers was an American actress, singer, and dancer best known for her iconic film musicals with Fred Astaire during Hollywood’s Golden Age.
  • D. Linda Christian
    Linda Christian was a Mexican-born Hollywood actress best known as the first on-screen "Bond girl" in the 1954 television adaptation of Casino Royale.
  • E. Helene Costello
    Helene Costello was an American film actress of the silent and early sound era, known for her roles in numerous 1920s productions.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b82b5248190ac863407e8207a3b completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c44ef0819088048289ed31246f completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.