Triple

T10500578
Position Surface form Disambiguated ID Type / Status
Subject Aidan Clinton Mezvinsky E247661 entity
Predicate middleName P143 FINISHED
Object Clinton E147656 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: Clinton | Statement: [Aidan Clinton Mezvinsky, middleName, Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton
Context triple: [Aidan Clinton Mezvinsky, middleName, Clinton]
  • A. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • B. Clinton
    Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
  • C. Clinton chosen
    Clinton is a masculine given name of English origin, often shortened to "Clint" and borne by various notable figures in politics, sports, and entertainment.
  • D. Clinton
    Clinton is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
  • E. Clinton
    Clinton is a small city in western Oklahoma known for its Route 66 heritage and regional agricultural and energy-based economy.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098ef57c8190a9803c2c1736d299 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dccec72481909bcfb6a9c5df7ba9 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:25 p.m.