Triple

T16474459
Position Surface form Disambiguated ID Type / Status
Subject Fanny Shaw E400150 entity
Predicate contrastsWith P278 FINISHED
Object Polly Milton E400149 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: Polly Milton | Statement: [Fanny Shaw, contrastsWith, Polly Milton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polly Milton
Context triple: [Fanny Shaw, contrastsWith, Polly Milton]
  • A. Polly Milton chosen
    Polly Milton is the wholesome, principled young heroine of Louisa May Alcott’s novel *An Old-Fashioned Girl*, whose modesty and integrity contrast with the more fashionable society around her.
  • B. Polly Richardson
    Polly Richardson is the daughter of German actress and singer Franka Potente.
  • C. Polly Moran
    Polly Moran was an American comedic actress of the silent and early sound film era, best known for her brash, slapstick roles and frequent collaborations with Marie Dressler at MGM.
  • D. Polly Morgan
    Polly Morgan is a British cinematographer known for her work on major feature films and television series, including the horror sequel "A Quiet Place Part II."
  • E. Polly Bailey
    Polly Bailey is a fictional lobbyist for the alcohol industry in the satirical novel and film "Thank You for Smoking," known for her role in the so-called "Merchants of Death" trio.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32dd32e048190a9eadd32d6b9374c completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006078da4c8190ba510d92b503e993 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.