Triple

T8329615
Position Surface form Disambiguated ID Type / Status
Subject Minnie Castevet E195041 entity
Predicate neighborOf P350 FINISHED
Object Rosemary Woodhouse E725323 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: Rosemary Woodhouse | Statement: [Minnie Castevet, neighborOf, Rosemary Woodhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosemary Woodhouse
Context triple: [Minnie Castevet, neighborOf, Rosemary Woodhouse]
  • A. Rosemary Woodhouse chosen
    Rosemary Woodhouse is the naive yet increasingly paranoid young wife and protagonist of Ira Levin’s horror novel and its film adaptation, whose pregnancy becomes the center of a satanic conspiracy.
  • B. Polly Wilkins
    Polly Wilkins is a fictional character appearing in the action spy film "The King’s Man."
  • C. Bess Meredyth
    Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
  • D. Agnes Lark Bettany
    Agnes Lark Bettany is the daughter of American actress Jennifer Connelly and British actor Paul Bettany.
  • E. Polly Pott
    Polly Pott is a fictional character from P. G. Wodehouse’s comic universe, appearing in his Blandings Castle novel "Service with a Smile."
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc70723a48190a3e33908fc84fe59 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:56 p.m.