Triple

T5413311
Position Surface form Disambiguated ID Type / Status
Subject Pike E121062 entity
Predicate hasNotableBearer P458 FINISHED
Object Beverly Pike
Beverly Pike is an American artist known for her large-scale, surreal landscape paintings that explore themes of environmental change and human impact on nature.
 E519148 NE FINISHED

How this triple was built (4 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: Beverly Pike | Statement: [Pike, hasNotableBearer, Beverly Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beverly Pike
Context triple: [Pike, hasNotableBearer, Beverly Pike]
  • A. Jane Lane
    Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
  • B. Marge Lane
    Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
  • C. Caroline Ridge
    Caroline Ridge is a notable ridge formation located within the Caroline Plate tectonic region.
  • D. Nodine Hill
    Nodine Hill is a residential neighborhood in the city of Yonkers, New York, known for its hilly terrain and diverse community.
  • E. Randall Lane
    Randall Lane is an American journalist and media executive best known as the editor-in-chief of Forbes magazine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Beverly Pike
Triple: [Pike, hasNotableBearer, Beverly Pike]
Generated description
Beverly Pike is an American artist known for her large-scale, surreal landscape paintings that explore themes of environmental change and human impact on nature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beverly Pike
Target entity description: Beverly Pike is an American artist known for her large-scale, surreal landscape paintings that explore themes of environmental change and human impact on nature.
  • A. Jane Lane
    Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
  • B. Marge Lane
    Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
  • C. Caroline Ridge
    Caroline Ridge is a notable ridge formation located within the Caroline Plate tectonic region.
  • D. Nodine Hill
    Nodine Hill is a residential neighborhood in the city of Yonkers, New York, known for its hilly terrain and diverse community.
  • E. Randall Lane
    Randall Lane is an American journalist and media executive best known as the editor-in-chief of Forbes magazine.
  • F. None of above. chosen

Provenance (5 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bb3c0c81908711784bc865ff03 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa3e1988190ac484c91022dc08b completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3c633640819089cbd2985a1f6479 completed March 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69bf3cb3432c8190ab0e59843144fc75 completed March 22, 2026, 12:49 a.m.
Created at: March 20, 2026, 2:05 p.m.