Triple

T6185926
Position Surface form Disambiguated ID Type / Status
Subject Hal C. Kern E138058 entity
Predicate name P16 FINISHED
Object Hal C. Kern E138058 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: Hal C. Kern | Statement: [Hal C. Kern, name, Hal C. Kern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hal C. Kern
Context triple: [Hal C. Kern, name, Hal C. Kern]
  • A. Hal C. Kern chosen
    Hal C. Kern was an American film editor best known for his Academy Award-winning work on classic Hollywood films, including "Gone with the Wind."
  • B. Harold Huber
    Harold Huber was an American character actor known for his prolific work in 1930s and 1940s Hollywood films, often portraying suave or villainous supporting roles.
  • C. Carl Kress
    Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
  • D. Walt Dohrn
    Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
  • E. Erle C. Kenton
    Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603e1381481908da3af3924e15e26 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:19 p.m.