Triple

T9501987
Position Surface form Disambiguated ID Type / Status
Subject W. F. Harvey E229164 entity
Predicate fullName P16 FINISHED
Object William Fryer Harvey E229163 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 Fryer Harvey | Statement: [W. F. Harvey, fullName, William Fryer Harvey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Fryer Harvey
Context triple: [W. F. Harvey, fullName, William Fryer Harvey]
  • A. William Fryer Harvey chosen
    William Fryer Harvey was an English writer best known for his influential horror and supernatural short stories.
  • B. W. H. Harvey
    W. H. Harvey was a 19th-century Irish botanist and phycologist known for his influential work on algae and plant taxonomy.
  • C. William Henry Barlow
    William Henry Barlow was a prominent 19th-century British civil engineer known for his influential work on railway infrastructure and bridge design.
  • D. John W. Harvey
    John W. Harvey is an astronomer recognized for his significant contributions to solar physics and helioseismology, for which he received the prestigious George Ellery Hale Prize.
  • E. William Thomas Brande
    William Thomas Brande was a 19th-century English chemist known for his influential textbooks and contributions to chemical education and nomenclature.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983d4b708190a4dfef1246986a26 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1526d30a481909944110fd6ebd1dd completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:57 p.m.