Triple

T9610067
Position Surface form Disambiguated ID Type / Status
Subject Custis family E232073 entity
Predicate associatedWith P37 FINISHED
Object Mount Vernon E477781 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: Mount Vernon | Statement: [Custis family, associatedWith, Mount Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Vernon
Context triple: [Custis family, associatedWith, Mount Vernon]
  • A. Mount Vernon
    Mount Vernon is a city in Westchester County, New York, bordering the Bronx and known as a residential suburb of New York City.
  • B. Mount Vernon
    Mount Vernon is a small city in northwestern Washington State that serves as the administrative and commercial hub of Skagit County.
  • C. Mount Vernon
    Mount Vernon is a historic and culturally rich neighborhood in Baltimore, Maryland, known for its 19th-century architecture, arts institutions, and prominent monuments.
  • D. Mount Vernon plantation chosen
    Mount Vernon plantation is the historic Virginia estate best known as the home of George Washington, the first president of the United States.
  • E. George Washington’s Mount Vernon museum
    George Washington’s Mount Vernon museum is a historic estate and museum in Virginia that preserves and interprets the home, life, and legacy of the first president of the United States.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8469e081909c8fb7c84ffea2b3 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:08 p.m.