Triple

T4047141
Position Surface form Disambiguated ID Type / Status
Subject Laura Hawkins E84092 entity
Predicate inspirationFor P4910 FINISHED
Object Becky Thatcher E11794 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: Becky Thatcher | Statement: [Laura Hawkins, inspirationFor, Becky Thatcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becky Thatcher
Context triple: [Laura Hawkins, inspirationFor, Becky Thatcher]
  • A. Becky Thatcher chosen
    Becky Thatcher is a spirited, kind-hearted girl in Mark Twain’s classic novel "The Adventures of Tom Sawyer," known as Tom’s love interest and a symbol of youthful innocence and adventure.
  • B. Janet McQueen
    Janet McQueen is a sibling of the renowned British fashion designer Alexander McQueen.
  • C. Hazel Tyler
    Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
  • D. Daisy Gardner
    Daisy Gardner is a hobbit of the Shire, one of the daughters of Samwise Gamgee and Rosie Cotton in J.R.R. Tolkien’s Middle-earth legendarium.
  • E. Eve Harrington
    Eve Harrington is the ambitious, manipulative young actress at the center of the classic 1950 film "All About Eve," whose calculated rise in the theater world drives the story's drama.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb62593c8190ab8462c4d9cd9d08 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5565466648190802a9b8fd88c3572 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.