Triple

T9914371
Position Surface form Disambiguated ID Type / Status
Subject Hurricane Dorian E185829 entity
Predicate replacementName P23044 FINISHED
Object Dexter
Dexter is the future Atlantic hurricane name chosen to replace the retired name Dorian on the World Meteorological Organization’s rotating storm list.
E829699 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: Dexter | Statement: [Hurricane Dorian, replacementName, Dexter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dexter
Context triple: [Hurricane Dorian, replacementName, Dexter]
  • A. Dexter
    Dexter is the given name of Dexter Scott King, an American civil and animal rights activist and the son of Martin Luther King Jr.
  • B. Dexter
    Dexter is a critically acclaimed American crime drama television series that follows a Miami forensic blood-spatter analyst who leads a secret life as a vigilante serial killer.
  • C. Dexter
    Dexter is a surname most notably associated with English crime writer Colin Dexter, creator of the Inspector Morse series.
  • D. Dexter
    Dexter is a central fictional character in Helen Garner's novella "The Children’s Bach," around whom much of the story’s domestic and emotional tension revolves.
  • E. Dexter
    Dexter is a small town in southeastern New Mexico, United States, known for its rural character and agricultural surroundings.
  • 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: Dexter
Triple: [Hurricane Dorian, replacementName, Dexter]
Generated description
Dexter is the future Atlantic hurricane name chosen to replace the retired name Dorian on the World Meteorological Organization’s rotating storm list.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dexter
Target entity description: Dexter is the future Atlantic hurricane name chosen to replace the retired name Dorian on the World Meteorological Organization’s rotating storm list.
  • A. Dexter
    Dexter is the given name of Dexter Scott King, an American civil and animal rights activist and the son of Martin Luther King Jr.
  • B. Dexter
    Dexter is a surname most notably associated with English crime writer Colin Dexter, creator of the Inspector Morse series.
  • C. Dexter
    Dexter is a small town in southeastern New Mexico, United States, known for its rural character and agricultural surroundings.
  • D. Dexter
    Dexter is a central fictional character in Helen Garner's novella "The Children’s Bach," around whom much of the story’s domestic and emotional tension revolves.
  • E. Dexter
    Dexter is a critically acclaimed American crime drama television series that follows a Miami forensic blood-spatter analyst who leads a secret life as a vigilante serial killer.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.