Triple

T11916991
Position Surface form Disambiguated ID Type / Status
Subject Leonard Neale E283549 entity
Predicate sibling P363 FINISHED
Object Thomas Neale E73524 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 Neale | Statement: [Leonard Neale, sibling, Thomas Neale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Neale
Context triple: [Leonard Neale, sibling, Thomas Neale]
  • A. Thomas Neale chosen
    Thomas Neale was a 17th-century English politician, entrepreneur, and public official known for his involvement in financial schemes, colonial projects, and various royal appointments.
  • B. Francis Neale
    Francis Neale was an American Jesuit priest and educator active in the early development of Catholic institutions in the United States.
  • C. William Elford Leach
    William Elford Leach was a British zoologist and marine biologist of the early 19th century known for his influential work in classifying a wide range of animal groups, including birds and crustaceans.
  • D. Henry Nettleship
    Henry Nettleship was a 19th-century English classical scholar best known for his work on Latin literature and his contributions to the study of Roman poetry.
  • E. Thomas Pasley
    Thomas Pasley was a Royal Navy officer who rose to flag rank during the late 18th and early 19th centuries and saw extensive service in the French Revolutionary Wars.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8deb14881909b65a1f159aec65f completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ce47d488190af7f832e7719a4ce completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:44 p.m.