Triple

T8734897
Position Surface form Disambiguated ID Type / Status
Subject Margaret Jasper E207353 entity
Predicate hasFamilyName P18 FINISHED
Object Jasper
Jasper is a surname of English origin borne by various individuals, including Margaret Jasper.
 E753227 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: Jasper | Statement: [Margaret Jasper, hasFamilyName, Jasper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jasper
Context triple: [Margaret Jasper, hasFamilyName, Jasper]
  • A. Jasper
    Jasper is a cloud-based Internet of Things (IoT) platform company that provides tools for managing and monetizing connected devices and services.
  • B. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • C. Jasper
    Jasper is one of Cruella de Vil’s bumbling henchmen who helps steal Dalmatian puppies in Disney’s "One Hundred and One Dalmatians."
  • D. Jasper
    Jasper is a small resort town in Alberta, Canada, serving as a gateway and service hub for visitors to the surrounding Rocky Mountains and Jasper National Park.
  • E. Jasper
    Jasper is a powerful and antagonistic Gem warrior in the animated series "Steven Universe," known for her brute strength, loyalty to Homeworld, and complex rivalry with the Crystal Gems.
  • 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: Jasper
Triple: [Margaret Jasper, hasFamilyName, Jasper]
Generated description
Jasper is a surname of English origin borne by various individuals, including Margaret Jasper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jasper
Target entity description: Jasper is a surname of English origin borne by various individuals, including Margaret Jasper.
  • A. Jasper
    Jasper is a masculine given name of Persian origin meaning "treasurer," historically associated with one of the Three Wise Men and used in various English-speaking countries.
  • B. Jasper
    Jasper is a powerful and antagonistic Gem warrior in the animated series "Steven Universe," known for her brute strength, loyalty to Homeworld, and complex rivalry with the Crystal Gems.
  • C. Jasper
    Jasper is one of Cruella de Vil’s bumbling henchmen who helps steal Dalmatian puppies in Disney’s "One Hundred and One Dalmatians."
  • D. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • E. Jasper
    Jasper is a cloud-based Internet of Things (IoT) platform company that provides tools for managing and monetizing connected devices and services.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2b89988190bb7671e273026046 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2936f84081908cf91f1dc9a4d27f completed April 3, 2026, 2:43 a.m.
NEDg Description generation batch_69cf2bfc2cc48190b13c54282c15e107 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.