Triple

T23482030
Position Surface form Disambiguated ID Type / Status
Subject Millard Kaufman E570429 entity
Predicate notableWork P4 FINISHED
Object Take the High Ground! — NE NERFINISHED

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: Take the High Ground! | Statement: [Millard Kaufman, notableWork, Take the High Ground!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Take the High Ground!
Context triple: [Millard Kaufman, notableWork, Take the High Ground!]
  • A. Take the High Ground! chosen
    "Take the High Ground!" is a 1953 American war drama film about U.S. Army basic training during the Korean War era, starring Richard Widmark and Karl Malden.
  • B. The High Ground
    The High Ground is a stage play written by British playwright and actress Leueen MacGrath.
  • C. Higher Ground
    Higher Ground is a 2011 American drama film that explores a woman's lifelong struggle with faith and doubt within an evangelical Christian community.
  • D. Higher Ground
    "Higher Ground" is a trap-influenced electronic track by the production duo TNGHT, known for its heavy bass, minimal structure, and significant impact on the early 2010s bass music scene.
  • E. Higher Ground
    Higher Ground is a tabletop role-playing game adventure set in the pulp-action Spirit of the Century universe, continuing its high-flying, cinematic storytelling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a75118048190b4af687906c4e747 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.