Triple

T22967618
Position Surface form Disambiguated ID Type / Status
Subject Rebecca King-Crews E571090 entity
Predicate hasEthnicGroup P1898 FINISHED
Object European-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: European-American | Statement: [Rebecca King-Crews, hasEthnicGroup, European-American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: European-American
Context triple: [Rebecca King-Crews, hasEthnicGroup, 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. Canadian-American
    Canadian-American refers to a person or entity associated with both Canada and the United States, typically through dual nationality or cultural identity.
  • D. Australian American
    An Australian American is a person of mixed Australian and American heritage or nationality, often reflecting cultural ties to both countries.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1822f57088190addc6857063b4cca completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.