Triple

T4884982
Position Surface form Disambiguated ID Type / Status
Subject Cayden Costner E109416 entity
Predicate givenName P17 FINISHED
Object Cayden
Cayden is a modern unisex given name, often considered a variant of Caden and popular in English-speaking countries.
 E476422 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: Cayden | Statement: [Cayden Costner, givenName, Cayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cayden
Context triple: [Cayden Costner, givenName, Cayden]
  • A. Cayden Boyd
    Cayden Boyd is an American actor best known for his childhood role as Max in the fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
  • B. Skylar
    Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
  • C. Cassidy
    "Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Hayden
    Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
  • 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: Cayden
Triple: [Cayden Costner, givenName, Cayden]
Generated description
Cayden is a modern unisex given name, often considered a variant of Caden and popular in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cayden
Target entity description: Cayden is a modern unisex given name, often considered a variant of Caden and popular in English-speaking countries.
  • A. Cayden Boyd
    Cayden Boyd is an American actor best known for his childhood role as Max in the fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
  • B. Skylar
    Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
  • C. Cassidy
    "Cassidy" is a beloved Grateful Dead–associated song by Bob Weir, known for its intricate lyrics and fusion of folk, rock, and improvisational elements.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Hayden
    Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de3718881908521968fa6e6b444 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680fd1508190bc01caeea8f56f84 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be68e3ff288190803d77350a3ce6a5 completed March 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:27 p.m.