Triple

T7647671
Position Surface form Disambiguated ID Type / Status
Subject Burr E173165 entity
Predicate hasNotableBearer P458 FINISHED
Object Patricia Burr
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
 E756162 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: Patricia Burr | Statement: [Burr, hasNotableBearer, Patricia Burr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patricia Burr
Context triple: [Burr, hasNotableBearer, Patricia Burr]
  • A. Patricia Scott
    Patricia Scott was the first wife of acclaimed film and theater director Mike Nichols.
  • B. Patricia Strong
    Patricia Strong is a person notable enough to be recognized as a significant bearer of the surname Strong.
  • C. Patricia Blair
    Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
  • D. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • E. Patricia Long
    Patricia Long is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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: Patricia Burr
Triple: [Burr, hasNotableBearer, Patricia Burr]
Generated description
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patricia Burr
Target entity description: Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
  • A. Patricia Scott
    Patricia Scott was the first wife of acclaimed film and theater director Mike Nichols.
  • B. Patricia Strong
    Patricia Strong is a person notable enough to be recognized as a significant bearer of the surname Strong.
  • C. Patricia Blair
    Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
  • D. Patricia Haines
    Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
  • E. Patricia Long
    Patricia Long is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf6328c8190bce0a3f8a17ef890 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51147c4c8190b3c893700f48fc54 completed April 3, 2026, 5:33 a.m.
NEDg Description generation batch_69cf52f0886881909ceb9fbe54f84d11 completed April 3, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69cf53bc19fc81908f43c3fa29bae021 completed April 3, 2026, 5:44 a.m.
Created at: March 27, 2026, 3:58 p.m.