Triple

T22449044
Position Surface form Disambiguated ID Type / Status
Subject Susan Walker E554939 entity
Predicate sibling P363 FINISHED
Object Titty Walker 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: Titty Walker | Statement: [Susan Walker, sibling, Titty Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titty Walker
Context triple: [Susan Walker, sibling, Titty Walker]
  • A. Titty Walker chosen
    Titty Walker is a resourceful and imaginative child protagonist in Arthur Ransome’s classic adventure novel "Swallows and Amazons."
  • B. Ninny Threadgoode
    Ninny Threadgoode is a central, elderly storyteller character in Fannie Flagg’s novel "Fried Green Tomatoes at the Whistle Stop Cafe," whose reminiscences connect past and present in the narrative.
  • C. Bettie
    Bettie is a feminine given name, often used as a diminutive or variant of names like Bettina or Elizabeth.
  • D. Tippy Walker
    Tippy Walker is an American former actress best known for her breakout role as a teenager in the 1964 film "The World of Henry Orient."
  • E. Peg Boggs
    Peg Boggs is the kind-hearted Avon saleswoman who discovers and takes in Edward in the film "Edward Scissorhands," becoming his compassionate surrogate mother.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.