Triple

T14182247
Position Surface form Disambiguated ID Type / Status
Subject Blacksburg, Virginia E351483 entity
Predicate namedAfter P63 FINISHED
Object William Black E37004 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: William Black | Statement: [Blacksburg, Virginia, namedAfter, William Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Black
Context triple: [Blacksburg, Virginia, namedAfter, William Black]
  • A. William Black chosen
    William Black is a relatively common personal name shared by multiple individuals across various fields, including literature, business, and the arts.
  • B. William Blackwood
    William Blackwood was a Scottish publisher and bookseller best known for founding the influential 19th-century literary magazine Blackwood's Magazine.
  • C. William Goodhart
    William Goodhart was an American screenwriter best known for writing the screenplay for the horror sequel "Exorcist II: The Heretic."
  • D. Richard Price
    Richard Price was an 18th-century Welsh moral philosopher, dissenting minister, and political radical known for his influential writings on population, economics, and civil liberties.
  • E. Richard Price
    Richard Price is an American novelist and screenwriter renowned for his gritty urban crime stories and work on films like "The Color of Money" and TV series such as "The Wire."
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61ca3ad88190944850c97760dcbf completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf8114774819094670dd800a40796 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.