Triple

T4821707
Position Surface form Disambiguated ID Type / Status
Subject Georgina Bloomberg E107723 entity
Predicate hasChild P369 FINISHED
Object Jasper E268987 NE FINISHED

How this triple was built (2 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: [Georgina Bloomberg, hasChild, Jasper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jasper
Context triple: [Georgina Bloomberg, hasChild, Jasper]
  • A. Jasper
    Jasper is a small city in northwestern Alabama known historically for its coal mining and role in the state's industrial development.
  • B. Jasper chosen
    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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.