Triple

T11941232
Position Surface form Disambiguated ID Type / Status
Subject The Hazards of Helen E284181 entity
Predicate starring P1507 FINISHED
Object Helen Holmes E955124 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: Helen Holmes | Statement: [The Hazards of Helen, starring, Helen Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Holmes
Context triple: [The Hazards of Helen, starring, Helen Holmes]
  • A. Helen Holmes chosen
    Helen Holmes was an American silent film actress and stunt performer best known for her daring action roles in early railroad-themed serials.
  • B. Eudoria Holmes
    Eudoria Holmes is the fiercely independent and unconventional mother of Enola Holmes in the "Enola Holmes" mystery series, known for her secretive activism and radical beliefs.
  • C. Sharon Holmes
    Sharon Holmes is known as the former wife of American actor John Curtis Estes, better known by his stage name John Holmes, a notorious figure in the adult film industry.
  • D. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • E. Ann Prentiss
    Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.