Triple

T16228800
Position Surface form Disambiguated ID Type / Status
Subject William Forsythe E393924 entity
Predicate hasFamilyName P18 FINISHED
Object Forsythe E393924 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: Forsythe | Statement: [William Forsythe, hasFamilyName, Forsythe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forsythe
Context triple: [William Forsythe, hasFamilyName, Forsythe]
  • A. Forsythe chosen
    Forsythe is a surname most prominently associated with American choreographer William Forsythe, renowned for his innovative contributions to contemporary ballet.
  • B. Flinton
    Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • C. Colemore
    Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
  • D. Winfield
    Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
  • E. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.