Triple

T689394
Position Surface form Disambiguated ID Type / Status
Subject Son of Kong E13356 entity
Predicate castMember P1668 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: [Son of Kong, castMember, Helen Mack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Mack
Context triple: [Son of Kong, castMember, 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 Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • C. Helen Rose
    Helen Rose was an acclaimed American costume designer best known for her glamorous work at MGM during Hollywood’s Golden Age, creating iconic wardrobes for stars like Elizabeth Taylor and Grace Kelly.
  • D. Margaret Guilfoyle
    Margaret Guilfoyle was an Australian politician who served as a pioneering female cabinet minister and influential member of the Liberal Party in the late 20th century.
  • E. Theresa Helburn
    Theresa Helburn was an influential American theatrical producer and playwright who helped shape modern Broadway through her leadership and artistic vision.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae26c4077081908dbf36ed274afa58 completed March 9, 2026, 1:47 a.m.
Created at: March 1, 2026, 7:36 p.m.