Triple

T2996323
Position Surface form Disambiguated ID Type / Status
Subject Mitchell E81076 entity
Predicate hasVariant P455 FINISHED
Object Michell
Michell is a given name and surname that functions as a variant spelling of Mitchell.
 E315573 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: Michell | Statement: [Mitchell, hasVariant, Michell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michell
Context triple: [Mitchell, hasVariant, Michell]
  • A. Marsden
    Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
  • B. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • C. Cassin
    Cassin is a French surname most notably borne by René Cassin, a Nobel Peace Prize–winning jurist and co-author of the Universal Declaration of Human Rights.
  • D. Barnard
    Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
  • E. Urey
    Urey is a surname most notably associated with Harold Urey, the Nobel Prize–winning American chemist who helped discover deuterium and advanced theories on the origin of the Earth and its atmosphere.
  • 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: Michell
Triple: [Mitchell, hasVariant, Michell]
Generated description
Michell is a given name and surname that functions as a variant spelling of Mitchell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michell
Target entity description: Michell is a given name and surname that functions as a variant spelling of Mitchell.
  • A. Marsden
    Marsden is a village in West Yorkshire, England, situated in the Colne Valley near the Pennines and known for its industrial heritage and scenic moorland surroundings.
  • B. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • C. Cassin
    Cassin is a French surname most notably borne by René Cassin, a Nobel Peace Prize–winning jurist and co-author of the Universal Declaration of Human Rights.
  • D. Barnard
    Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
  • E. Urey
    Urey is a surname most notably associated with Harold Urey, the Nobel Prize–winning American chemist who helped discover deuterium and advanced theories on the origin of the Earth and its atmosphere.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f481688190ae8cd1e057f9dfc7 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10909cbbc819092f885494f219924 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1096ae4ac8190966f913d7ae9589e completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b109ea926481909c85a9aa28027d41 completed March 11, 2026, 6:21 a.m.
Created at: March 8, 2026, 2:59 p.m.