Triple

T9656708
Position Surface form Disambiguated ID Type / Status
Subject A Princess of Thule E233470 entity
Predicate hasCreator P806 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: [A Princess of Thule, hasCreator, William Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Black
Context triple: [A Princess of Thule, hasCreator, 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. 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.
  • D. 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."
  • E. David Blackman
    David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcb78e4c8190aaa55de453789168 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 8:14 p.m.