Triple

T3790098
Position Surface form Disambiguated ID Type / Status
Subject Keegan-Michael Key E89623 entity
Predicate ethnicBackground P194 FINISHED
Object European-American E4805 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: European-American | Statement: [Keegan-Michael Key, ethnicBackground, European-American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European-American
Context triple: [Keegan-Michael Key, ethnicBackground, European-American]
  • A. European American chosen
    European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
  • B. American
    American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
  • C. AMERICAN
    AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
  • D. Europeans
    Europeans are the diverse group of peoples originating from the continent of Europe, sharing a broad cultural and historical heritage that has significantly influenced global history, politics, and culture.
  • E. All American
    All American is a 2018–present American sports drama television series inspired by the life of former NFL player Spencer Paysinger, focusing on a high school football star navigating class, family, and identity.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76733248190a24a1143c64bd6c6 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.