Triple

T21380249
Position Surface form Disambiguated ID Type / Status
Subject Donald Tokowitz E527331 entity
Predicate familyName P18 FINISHED
Object Sterling 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: Sterling | Statement: [Donald Tokowitz, familyName, Sterling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterling
Context triple: [Donald Tokowitz, familyName, Sterling]
  • A. Sterling
    Sterling is a suburban community in Loudoun County, Northern Virginia, known for its residential neighborhoods, proximity to Washington Dulles International Airport, and role as part of the greater Washington, D.C. metropolitan area.
  • B. Sterling chosen
    Sterling is a surname of English origin borne by various notable individuals, including actress and author Sara Shane.
  • C. Sterling
    Sterling is a character in August Wilson's play "Two Trains Running," portrayed as a young, idealistic ex-convict striving for dignity and opportunity amid the social and economic struggles of 1960s Pittsburgh.
  • D. Sterling
    Sterling is a character in the independent coming-of-age drama film "I Believe in Unicorns."
  • E. Sterling
    Sterling is a masculine given name of English origin, often associated with qualities of high value or excellence.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cdab8c8190a7eebe6e5961ee75 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.