Triple

T215274
Position Surface form Disambiguated ID Type / Status
Subject European American E4805 entity
Predicate alsoKnownAs P39 FINISHED
Object White 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: White American | Statement: [European American, alsoKnownAs, White American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White American
Context triple: [European American, alsoKnownAs, White 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. Black Americans
    Black Americans are a racial and ethnic group in the United States descended largely from enslaved Africans, with a distinct cultural, historical, and political legacy that has profoundly shaped American society.
  • E. Black
    Black is a common English-language surname borne by numerous notable individuals across diverse fields.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4ca0c8819093f63c6371e2d140 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3f66888190a05ddcb0af4d3c5f completed Feb. 28, 2026, 7:13 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.