Triple

T8083244
Position Surface form Disambiguated ID Type / Status
Subject Corbett E188668 entity
Predicate hasVariant P455 FINISHED
Object Corbet
Corbet is a surname of English and Norman origin, historically associated with families whose name derives from the Old French word for "raven."
 E711144 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: Corbet | Statement: [Corbett, hasVariant, Corbet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Corbet
Context triple: [Corbett, hasVariant, Corbet]
  • A. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • B. Crowel
    Crowel is an alternative spelling of the surname Crowell, which is of English origin.
  • C. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • D. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • E. Sneyd
    Sneyd is an English surname historically associated with several notable families and individuals in Britain.
  • 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: Corbet
Triple: [Corbett, hasVariant, Corbet]
Generated description
Corbet is a surname of English and Norman origin, historically associated with families whose name derives from the Old French word for "raven."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Corbet
Target entity description: Corbet is a surname of English and Norman origin, historically associated with families whose name derives from the Old French word for "raven."
  • A. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • B. Crowel
    Crowel is an alternative spelling of the surname Crowell, which is of English origin.
  • C. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • D. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • E. Sneyd
    Sneyd is an English surname historically associated with several notable families and individuals in Britain.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ff37a88190a980e023a9b7c30c completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68634dc88190bc9b9e0598929d4d completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc694d861c8190b504352c1fad2c36 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:28 p.m.