Triple

T7482869
Position Surface form Disambiguated ID Type / Status
Subject Clark Shaughnessy E176804 entity
Predicate givenName P17 FINISHED
Object Clark E119775 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: Clark | Statement: [Clark Shaughnessy, givenName, Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark
Context triple: [Clark Shaughnessy, givenName, Clark]
  • A. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • B. Clark chosen
    Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • C. Clark
    Clark is a minor character in Bertolt Brecht's satirical play "The Resistible Rise of Arturo Ui," which allegorically depicts the rise of Adolf Hitler through the story of a Chicago gangster.
  • D. Clayton
    Clayton is a small village located within the town of New Marlborough in Berkshire County, Massachusetts.
  • E. Clayton
    Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5374bb08190bdf6ca72a3d0cd1c completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.