Triple

T9450603
Position Surface form Disambiguated ID Type / Status
Subject Helen Mack E227878 entity
Predicate name P16 FINISHED
Object Helen Mack E227878 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 Mack | Statement: [Helen Mack, name, Helen Mack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Mack
Context triple: [Helen Mack, name, Helen Mack]
  • A. Helen Mack chosen
    Helen Mack was an American film and radio actress of the 1930s and 1940s, known for her versatile performances in both comedy and drama.
  • B. Helen Harrington
    Helen Harrington is known as the wife of American minimalist painter Brice Marden.
  • C. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • D. Helen Horton
    Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
  • E. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e15435faa881909b1a124f8027deeb completed April 16, 2026, 9:27 p.m.
Created at: March 30, 2026, 7:51 p.m.