Triple

T18296526
Position Surface form Disambiguated ID Type / Status
Subject Peter Lilley E438244 entity
Predicate honorificSuffix P341 FINISHED
Object FRSA 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: FRSA | Statement: [Peter Lilley, honorificSuffix, FRSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRSA
Context triple: [Peter Lilley, honorificSuffix, FRSA]
  • A. FRSA chosen
    FRSA is the post-nominal designation for a Fellow of the Royal Society of Arts, an honor recognizing significant contributions to social progress and development in the arts, manufacturing, and commerce.
  • B. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • C. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • D. FHSA
    FHSA is a U.S. federal law that regulates the labeling and safety of hazardous household products to protect consumers, especially children, from health and safety risks.
  • E. FRSAD
    FRSAD (Functional Requirements for Subject Authority Data) is an IFLA conceptual model that defines how subject authority data should be structured and related to support effective subject access in library and information systems.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017c0f04819095cd9d59afc37caa completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.