Triple

T8278762
Position Surface form Disambiguated ID Type / Status
Subject Goodfellas E193611 entity
Predicate mainCharacter P1183 FINISHED
Object Karen Hill E536526 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: Karen Hill | Statement: [Goodfellas, mainCharacter, Karen Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Hill
Context triple: [Goodfellas, mainCharacter, Karen Hill]
  • A. Karen Hill chosen
    Karen Hill is a central character in the film "Goodfellas," depicted as the wife of mob associate Henry Hill and known for her complex involvement in his criminal lifestyle.
  • B. Brenda Chenowith
    Brenda Chenowith is a complex, intellectually gifted but emotionally troubled woman who becomes deeply entwined with the Fisher family in the HBO drama series "Six Feet Under."
  • C. Karen Verne
    Karen Verne was a German-born actress who appeared in Hollywood films of the 1940s and was once married to actor Peter Lorre.
  • D. Barbara Sturgeon
    Barbara Sturgeon is a British radio broadcaster and presenter known for her long career with BBC local radio.
  • E. Judith Nodine
    Judith Nodine is known as the former spouse of American investor and former U.S. Secretary of Commerce Wilbur Ross.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ebb6b88190bc777b8bd72fcdbc completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.