Triple

T23558737
Position Surface form Disambiguated ID Type / Status
Subject Paris Price E579163 entity
Predicate hasSibling P363 FINISHED
Object Charlotte Price 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: Charlotte Price | Statement: [Paris Price, hasSibling, Charlotte Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Price
Context triple: [Paris Price, hasSibling, Charlotte Price]
  • A. Charlotte Price chosen
    Charlotte Price is a character in the film "A Day Late and a Dollar Short," which follows the tumultuous dynamics of a dysfunctional family.
  • B. Eglantine Price
    Eglantine Price is an apprentice witch and the plucky, resourceful heroine of Disney’s fantasy film "Bedknobs and Broomsticks."
  • C. Victoria Price
    Victoria Price is an American author, speaker, and designer best known for her work preserving and promoting the legacy of her father, actor Vincent Price.
  • D. Victoria Price
    Victoria Price was one of the two white women whose accusations of rape against nine Black teenagers in 1931 led to the infamous Scottsboro Boys trials in Alabama.
  • E. Laura Bettinson
    Laura Bettinson is a British singer and songwriter best known as the vocalist for the electronic art-pop band Ultraísta and for her solo work under the name FEMME.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6663e0819081d654da38cf3aa9 completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:12 p.m.