Triple

T7164277
Position Surface form Disambiguated ID Type / Status
Subject Fred Willard E167027 entity
Predicate givenName P17 FINISHED
Object Frederick E81892 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: Frederick | Statement: [Fred Willard, givenName, Frederick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick
Context triple: [Fred Willard, givenName, Frederick]
  • A. Frederick
    Frederick is the birth name of Fred Astaire, the legendary American dancer, singer, and actor renowned for his influential work in film and Broadway musicals.
  • B. Frederick
    Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
  • C. Frederick
    Frederick is the given name of Lord Roberts, the prominent British Army field marshal and commander during the late 19th and early 20th centuries.
  • D. Frederick
    Frederick, better known as Lord North, was an 18th-century British prime minister most remembered for leading Britain during the American Revolutionary War.
  • E. Frederick chosen
    Frederick is a masculine given name of Germanic origin that has been borne by numerous notable figures, including scientists, rulers, and artists.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e83168a08190937ff46797d94f3e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adcc145c8190ba65831ed891a225 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.