Triple

T12108246
Position Surface form Disambiguated ID Type / Status
Subject Bright Victory E288357 entity
Predicate editedBy P1954 FINISHED
Object Helene Turner E911079 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: Helene Turner | Statement: [Bright Victory, editedBy, Helene Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helene Turner
Context triple: [Bright Victory, editedBy, Helene Turner]
  • A. Helene Turner chosen
    Helene Turner was a film editor active during the early 20th century, known for her work on American feature films.
  • B. Helene Bradley
    Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
  • C. Helen Vinson
    Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
  • D. Helene Wright
    Helene Wright is a character in Toni Morrison’s novel "Song of Solomon," known as the devoutly religious and socially proper mother of Milkman (Nel) Wright.
  • E. Ruth Turner
    Ruth Turner was the wife of British mountaineer George Mallory, known for her enduring support and poignant correspondence during his historic Everest expeditions.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5a733c819090a6710ab990c38d completed May 9, 2026, 11:28 a.m.
Created at: April 8, 2026, 9:49 p.m.