Triple

T3872867
Position Surface form Disambiguated ID Type / Status
Subject George Rogers Clark E92427 entity
Predicate familyName P18 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: [George Rogers Clark, familyName, Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark
Context triple: [George Rogers Clark, familyName, Clark]
  • A. Clark chosen
    Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • B. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • C. Clayton
    Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
  • D. Clayton
    Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec581adc81909219e6f025fc97c2 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51249f1ec8190a1f6cc191bc94421 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.