Triple

T18726855
Position Surface form Disambiguated ID Type / Status
Subject Bridgeman family E457922 entity
Predicate hasFamilyName P18 FINISHED
Object Bridgeman NE NERFINISHED

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: Bridgeman | Statement: [Bridgeman family, hasFamilyName, Bridgeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgeman
Context triple: [Bridgeman family, hasFamilyName, Bridgeman]
  • A. Bridgeman chosen
    Bridgeman is an English surname historically associated with British nobility and aristocratic families.
  • B. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • C. Hayez
    Hayez is the surname of Francesco Hayez, a prominent 19th-century Italian Romantic painter known for his historical and allegorical works.
  • D. Sisley
    Sisley is a French Impressionist painter renowned for his serene, light-filled landscape paintings.
  • E. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d74bd9881908cd314e68327c402 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.