Triple

T22048755
Position Surface form Disambiguated ID Type / Status
Subject Charles Aubrey Smith E544829 entity
Predicate givenName P17 FINISHED
Object Aubrey
Aubrey is a given name most notably borne by English cricketer-turned-actor Sir Charles Aubrey Smith.
E1515343 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: Aubrey | Statement: [Charles Aubrey Smith, givenName, Aubrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubrey
Context triple: [Charles Aubrey Smith, givenName, Aubrey]
  • A. Aubrey
    Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
  • B. Aubrey
    Aubrey is the first name of Canadian rapper, singer, and actor Drake (Aubrey Drake Graham).
  • C. Aubrey Lee
    Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
  • D. Aubrey Morris
    Aubrey Morris was a British character actor known for his distinctive eccentric roles in films such as "A Clockwork Orange" and numerous television appearances.
  • E. Aubrey Woods
    Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
  • 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: Aubrey
Triple: [Charles Aubrey Smith, givenName, Aubrey]
Generated description
Aubrey is a given name most notably borne by English cricketer-turned-actor Sir Charles Aubrey Smith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aubrey
Target entity description: Aubrey is a given name most notably borne by English cricketer-turned-actor Sir Charles Aubrey Smith.
  • A. Aubrey
    Aubrey is the first name of Canadian rapper, singer, and actor Drake (Aubrey Drake Graham).
  • B. Aubrey
    Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
  • C. Aubrey Lee
    Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
  • D. Aubrey Morris
    Aubrey Morris was a British character actor known for his distinctive eccentric roles in films such as "A Clockwork Orange" and numerous television appearances.
  • E. Aubrey Woods
    Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283191e48190b4ddc84138243327 completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7736708190bad46e7f44aeb18c completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:26 p.m.