Triple

T9319621
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Reaser E224211 entity
Predicate hasEthnicity 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: [Elizabeth Reaser, hasEthnicity, European American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: European American
Context triple: [Elizabeth Reaser, hasEthnicity, 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. 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.
  • E. All American
    "All American" is the nickname and motto of the U.S. Army's 82nd Airborne Division, reflecting its origins as a unit composed of soldiers from all 48 states.
  • 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_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7cc71e48190afdc3f1120ce5e02 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.