Triple

T16028206
Position Surface form Disambiguated ID Type / Status
Subject Worsley Building E388772 entity
Predicate namedAfter P63 FINISHED
Object Thomas Worsley E388772 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: Thomas Worsley | Statement: [Worsley Building, namedAfter, Thomas Worsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Worsley
Context triple: [Worsley Building, namedAfter, Thomas Worsley]
  • A. Thomas Worsley chosen
    Thomas Worsley was a British architect and academic associated with the University of Leeds, after whom the Worsley Building is named.
  • B. William Dowdeswell
    William Dowdeswell was an 18th-century British Whig politician who served as Chancellor of the Exchequer and was a leading figure in the Rockingham Whig faction.
  • C. John Southworth
    John Southworth is a notable individual distinguished enough to be recognized as a prominent bearer of the Southworth surname.
  • D. Benjamin Worsley
    Benjamin Worsley was a 17th-century English physician, surveyor, and administrator involved in Commonwealth-era projects in Ireland and naval administration.
  • E. John Willett
    John Willett is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Willett.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec9fb3881908df8d3d318cbd238 completed May 10, 2026, 11:40 a.m.
Created at: April 10, 2026, 4:56 a.m.