Triple

T2674416
Position Surface form Disambiguated ID Type / Status
Subject Solstice Award E56423 entity
Predicate hasRecipient P108 FINISHED
Object Beverly Friend
Beverly Friend is an individual recognized for her notable achievements or contributions, as evidenced by receiving the Solstice Award.
 E293104 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 Friend | Statement: [Solstice Award, hasRecipient, Beverly Friend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beverly Friend
Context triple: [Solstice Award, hasRecipient, Beverly Friend]
  • A. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • B. Betty Lou Keim
    Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
  • C. Betty Bronson
    Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
  • D. Mary Loos
    Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
  • E. Betty Irene Whitaker
    Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
  • 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 Friend
Triple: [Solstice Award, hasRecipient, Beverly Friend]
Generated description
Beverly Friend is an individual recognized for her notable achievements or contributions, as evidenced by receiving the Solstice Award.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beverly Friend
Target entity description: Beverly Friend is an individual recognized for her notable achievements or contributions, as evidenced by receiving the Solstice Award.
  • A. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • B. Betty Lou Keim
    Betty Lou Keim was an American film and television actress best known for her roles in 1950s teen dramas and coming-of-age stories.
  • C. Betty Bronson
    Betty Bronson was an American film actress best known for her roles in silent and early sound films, including her iconic portrayal of Peter Pan in the 1924 adaptation.
  • D. Mary Loos
    Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
  • E. Betty Irene Whitaker
    Betty Irene Whitaker is the wife of Intel co-founder and philanthropist Gordon E. Moore and a partner in his philanthropic endeavors.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b228cc819097f045b4a51d8e7c completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6775b008190a59e480516c3ef41 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75ea498819089c79e63052e9696 completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb83ba6dc8190931d691d3e354bd7 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:54 p.m.