Triple

T11232480
Position Surface form Disambiguated ID Type / Status
Subject Kabnis E265855 entity
Predicate protagonist P268 FINISHED
Object Ralph Kabnis E975359 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: Ralph Kabnis | Statement: [Kabnis, protagonist, Ralph Kabnis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Kabnis
Context triple: [Kabnis, protagonist, Ralph Kabnis]
  • A. Ralph Kabnis chosen
    Ralph Kabnis is the troubled, introspective schoolteacher protagonist of Jean Toomer’s Cane, whose experiences in the Jim Crow South explore themes of racial identity, alienation, and spiritual crisis.
  • B. Rex Kramer
    Rex Kramer is a tough, no-nonsense former fighter pilot and aviation expert who serves as a key authority figure in the parody disaster film "Airplane!".
  • C. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • D. Ralph Monclar
    Ralph Monclar was a French Army general best known for volunteering to lead the French Battalion of the United Nations during the Korean War, despite having previously retired.
  • E. Kurt Kasznar
    Kurt Kasznar was an Austrian-American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying urbane or authoritative supporting roles.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63449892881909d361815cbfcdee5 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:30 p.m.