Triple

T15913960
Position Surface form Disambiguated ID Type / Status
Subject Carrie Beth Van Dyke E385921 entity
Predicate familyName P18 FINISHED
Object Van Dyke E572375 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: Van Dyke | Statement: [Carrie Beth Van Dyke, familyName, Van Dyke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Dyke
Context triple: [Carrie Beth Van Dyke, familyName, Van Dyke]
  • A. Van Dyke
    Van Dyke is the distinctive given name of American composer, arranger, and songwriter Van Dyke Parks, noted for his influential work in pop and experimental music.
  • B. Van Dyke chosen
    Van Dyke is a surname of Dutch origin borne by various notable individuals in fields such as science, the arts, and entertainment.
  • C. Benjamin Pond
    Benjamin Pond was an early 19th-century American politician who served as a U.S. Representative from New York.
  • D. Melancton
    Melancton is a masculine given name most notably borne by Melancton Smith, an American lawyer and prominent Anti-Federalist politician of the late 18th century.
  • E. Sewallis Shirley
    Sewallis Shirley was a 19th-century British dog fancier and organizer best known for establishing The Kennel Club, the world’s first national kennel club for dog breeding and shows.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.