Triple

T12401336
Position Surface form Disambiguated ID Type / Status
Subject Saw VI E296258 entity
Predicate portrayedBy P1507 FINISHED
Object Betsy Russell E1076956 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: Betsy Russell | Statement: [Saw VI, portrayedBy, Betsy Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsy Russell
Context triple: [Saw VI, portrayedBy, Betsy Russell]
  • A. Betsy Russell chosen
    Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
  • B. Betsy Reed
    Betsy Reed is an American journalist and editor best known for her leadership roles at progressive news outlets, including serving as editor-in-chief of The Intercept under First Look Media.
  • C. Rachel Russell
    Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
  • D. Betsy Bowen
    Betsy Bowen, later known as Eliza Jumel, was a prominent 19th-century American socialite and wealthy New York landowner who rose from poverty to become one of the richest women of her time.
  • E. Betsy Blair
    Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7c93f048190a755addc0922064b completed May 7, 2026, 8:36 p.m.
Created at: April 8, 2026, 9:55 p.m.