Triple

T5696243
Position Surface form Disambiguated ID Type / Status
Subject Jule Gregory Charney E125546 entity
Predicate givenName P17 FINISHED
Object Jule
Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
 E542050 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: Jule | Statement: [Jule Gregory Charney, givenName, Jule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jule
Context triple: [Jule Gregory Charney, givenName, Jule]
  • A. Jula
    Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • B. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • C. Juliaetta
    Juliaetta is a small rural city in north-central Idaho, known for its agricultural surroundings and location in the Clearwater River region.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Jaan
    Jaan is a masculine given name commonly used in Estonia, equivalent to the English name John.
  • 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: Jule
Triple: [Jule Gregory Charney, givenName, Jule]
Generated description
Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jule
Target entity description: Jule is a given name most notably associated with Jule Gregory Charney, a pioneering American meteorologist and one of the founders of modern numerical weather prediction.
  • A. Jula
    Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • B. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • C. Juliaetta
    Juliaetta is a small rural city in north-central Idaho, known for its agricultural surroundings and location in the Clearwater River region.
  • D. Júlia
    Júlia is the given name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • E. Jaan
    Jaan is a masculine given name commonly used in Estonia, equivalent to the English name John.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.