Triple

T19796262
Position Surface form Disambiguated ID Type / Status
Subject Adrian (costume designer) E475547 entity
Predicate designedFor P98 FINISHED
Object Jean Harlow 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: Jean Harlow | Statement: [Adrian (costume designer), designedFor, Jean Harlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Harlow
Context triple: [Adrian (costume designer), designedFor, Jean Harlow]
  • A. Jean Harlow chosen
    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.
  • B. Maxene Harlow
    Maxene Harlow is best known as the wife of John Entwistle, the legendary bassist of the rock band The Who.
  • C. Clara Bow
    Clara Bow was a hugely popular American silent film actress of the 1920s, famously known as the original "It Girl" and a defining sex symbol of the Jazz 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. 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.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c723548190ac9bfaecaf8afb13 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.