Triple

T19196657
Position Surface form Disambiguated ID Type / Status
Subject William Bent E469987 entity
Predicate ethnicGroup P194 FINISHED
Object Euro-American 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: Euro-American | Statement: [William Bent, ethnicGroup, Euro-American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euro-American
Context triple: [William Bent, ethnicGroup, Euro-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. Americal
    Americal was the nickname of the U.S. Army’s 23rd Infantry Division, a World War II–era unit known for its service in the Pacific Theater and later in the Vietnam War.
  • 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. AMERICAN
    AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a5dabc81908fffad811f177b03 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.