Triple

T3423769
Position Surface form Disambiguated ID Type / Status
Subject John Haviland E72176 entity
Predicate professionalReputation P36019 FINISHED
Object prominent architect in 19th-century America LITERAL 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: prominent architect in 19th-century America | Statement: [John Haviland, professionalReputation, prominent architect in 19th-century America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: professionalReputation
Context triple: [John Haviland, professionalReputation, prominent architect in 19th-century America]
  • A. professionalSince
    Indicates the point in time when an entity began its professional activity or career in a given role or field.
  • B. performanceReputation chosen
    Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
  • C. reputationBuiltFor
    Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
  • D. professionalHead
    Indicates that one entity serves as the primary professional leader or chief authority over another entity within an organizational or occupational context.
  • E. professional
    Indicates that one entity has a formal, occupation-related role, service, or expertise in relation to another entity.
  • F. None of above.

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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9533b588190a18a9b6495712ee0 completed March 8, 2026, 6 p.m.
PD Predicate disambiguation batch_69adadfea024819094b41a13bc004bda completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.