Triple

T2238012
Position Surface form Disambiguated ID Type / Status
Subject Chelsea Clinton E49326 entity
Predicate familyName P18 FINISHED
Object Clinton E53704 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: [Chelsea Clinton, familyName, Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton
Context triple: [Chelsea Clinton, familyName, Clinton]
  • A. Clinton chosen
    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
    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 small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • E. Clinton
    Clinton is a small unincorporated community and ferry terminal on the southern end of Whidbey Island in Island County, Washington.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8944c9e0819099aee546cfc1a636 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:47 p.m.