Triple

T9318610
Position Surface form Disambiguated ID Type / Status
Subject Harry Kurnitz E224186 entity
Predicate name P16 FINISHED
Object Harry Kurnitz E224186 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: Harry Kurnitz | Statement: [Harry Kurnitz, name, Harry Kurnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Kurnitz
Context triple: [Harry Kurnitz, name, Harry Kurnitz]
  • A. Harry Kurnitz chosen
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • B. Milton R. Krasner
    Milton R. Krasner was an American cinematographer renowned for his work on numerous classic Hollywood films, including the acclaimed drama "All About Eve."
  • C. Richard Friedenberg
    Richard Friedenberg is an American screenwriter and filmmaker best known for his acclaimed adaptations of literary works, including the film "A River Runs Through It."
  • D. Laurence Feininger
    Laurence Feininger was a musicologist and Roman Catholic priest known for his scholarly work on early sacred music and as the son of German-American painter Lyonel Feininger.
  • E. Robert Krasker
    Robert Krasker was an Australian-born cinematographer best known for his atmospheric black-and-white work on classic films such as "The Third Man."
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110165800819085d05101a84313d1 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:38 p.m.