Triple

T2487868
Position Surface form Disambiguated ID Type / Status
Subject Randall E55969 entity
Predicate hasVariant P455 FINISHED
Object Randal E259206 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: Randal | Statement: [Randall, hasVariant, Randal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randal
Context triple: [Randall, hasVariant, Randal]
  • A. Randal chosen
    Randal is the given first name of American politician and physician Rand Paul.
  • B. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • C. Rolph
    Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
  • D. Randall
    Randall is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • E. Garth
    Garth is a novel by American writer Julian Hawthorne, known as one of his more prominent works of fiction in the late 19th century.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1782ca081909645164a6acf0ea0 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17bca6f88190a63672fb3372f0be completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.