Triple

T2604381
Position Surface form Disambiguated ID Type / Status
Subject Best E58622 entity
Predicate hasNotableBearer P458 FINISHED
Object Wendy Best
Wendy Best is an individual notable enough to be recognized as a bearer of the surname Best, though specific widely known public details about her are not established.
 E281137 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: Wendy Best | Statement: [Best, hasNotableBearer, Wendy Best]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendy Best
Context triple: [Best, hasNotableBearer, Wendy Best]
  • A. Wendy Benchley
    Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
  • B. Wendy Hughes
    Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
  • C. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • D. Wendy Cheesman
    Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
  • E. Wendy Lawrence
    Wendy Lawrence is a retired U.S. Navy captain and NASA astronaut who flew on multiple Space Shuttle missions as a mission specialist.
  • 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: Wendy Best
Triple: [Best, hasNotableBearer, Wendy Best]
Generated description
Wendy Best is an individual notable enough to be recognized as a bearer of the surname Best, though specific widely known public details about her are not established.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendy Best
Target entity description: Wendy Best is an individual notable enough to be recognized as a bearer of the surname Best, though specific widely known public details about her are not established.
  • A. Wendy Benchley
    Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
  • B. Wendy Hughes
    Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
  • C. Wendy Mills
    Wendy Mills is a person notable enough to be specifically cited as a bearer of the surname Mills.
  • D. Wendy Cheesman
    Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
  • E. Wendy Lawrence
    Wendy Lawrence is a retired U.S. Navy captain and NASA astronaut who flew on multiple Space Shuttle missions as a mission specialist.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8340eac819084eb1fe6f0ac0aa0 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83dac58c81908be66bf40c810e3c completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af846ab5888190aa04ee83752208e2 completed March 10, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69af84e909308190a6a1a2e818f263c4 completed March 10, 2026, 2:41 a.m.
Created at: March 6, 2026, 9:49 p.m.