Triple

T1416084
Position Surface form Disambiguated ID Type / Status
Subject Veronica Lake E31920 entity
Predicate name P16 FINISHED
Object Veronica Lake E31920 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: Veronica Lake | Statement: [Veronica Lake, name, Veronica Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronica Lake
Context triple: [Veronica Lake, name, Veronica Lake]
  • A. Veronica Lake chosen
    Veronica Lake was a popular American film actress of the 1940s, famed for her roles in film noir and her iconic peek-a-boo hairstyle.
  • B. Jean Harlow
    Jean Harlow was a legendary American film actress and 1930s sex symbol known for her platinum blonde image and starring roles in early Hollywood comedies and dramas.
  • C. Mamie Van Doren
    Mamie Van Doren is an American actress, singer, and 1950s sex symbol known for her roles in rock 'n' roll and exploitation films.
  • 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. Audrey Harrison
    Audrey Harrison was the mother of British historian Charles Townshend, known for his work on modern Irish and British political history.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3085a058819080508b3466f2a1d5 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 7:59 p.m.