Triple

T1038851
Position Surface form Disambiguated ID Type / Status
Subject Massey Hall E22424 entity
Predicate namedAfter P63 FINISHED
Object Hart Massey E108650 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: Hart Massey | Statement: [Massey Hall, namedAfter, Hart Massey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hart Massey
Context triple: [Massey Hall, namedAfter, Hart Massey]
  • A. Hart Massey chosen
    Hart Massey was a prominent Canadian industrialist and philanthropist from the Massey manufacturing family, known for his significant contributions to education and culture.
  • B. Lionel Hall
    Lionel Hall is an undergraduate dormitory building located within Harvard University's historic Harvard Yard.
  • C. William Hulton
    William Hulton was a British magistrate and landowner best known for ordering the yeomanry to arrest speakers at the 1819 Peterloo reform meeting, a decision that helped trigger the ensuing massacre.
  • D. Julius Lankershim
    Julius Lankershim was a prominent 19th-century Los Angeles landowner and developer whose holdings and influence helped shape early Hollywood and the San Fernando Valley.
  • E. Thomas Parkhurst
    Thomas Parkhurst was a 17th-century London bookseller and publisher known for issuing prominent Puritan and religious works.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82c69c8819082a71e810be34729 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc58d8c8190b9dc7a4bc986abcb completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.