Triple

T19829742
Position Surface form Disambiguated ID Type / Status
Subject Cayden E476422 entity
Predicate hasSpellingVariant P457 FINISHED
Object Kaiden
Kaiden is a modern given name, typically used for boys, that is one of several popular spelling variants of the name Cayden.
 E1396416 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: Kaiden | Statement: [Cayden, hasSpellingVariant, Kaiden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaiden
Context triple: [Cayden, hasSpellingVariant, Kaiden]
  • A. Kaitaa
    Kaitaa is a metro station on the western extension of the Helsinki Metro system in Espoo, Finland.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Tye
    Tye is the first name of American actor Tye Sheridan, known for roles in films like "Mud," "Ready Player One," and the "X-Men" series.
  • D. Maddox
    Maddox is the eldest son of actors Angelina Jolie and Brad Pitt, known for largely growing up in the public eye.
  • E. Kai
    Kai is the fictional half-Japanese, half-English outcast and skilled warrior portrayed by Keanu Reeves in the fantasy samurai film "47 Ronin."
  • 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: Kaiden
Triple: [Cayden, hasSpellingVariant, Kaiden]
Generated description
Kaiden is a modern given name, typically used for boys, that is one of several popular spelling variants of the name Cayden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaiden
Target entity description: Kaiden is a modern given name, typically used for boys, that is one of several popular spelling variants of the name Cayden.
  • A. Kaitaa
    Kaitaa is a metro station on the western extension of the Helsinki Metro system in Espoo, Finland.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Tye
    Tye is the first name of American actor Tye Sheridan, known for roles in films like "Mud," "Ready Player One," and the "X-Men" series.
  • D. Maddox
    Maddox is the eldest son of actors Angelina Jolie and Brad Pitt, known for largely growing up in the public eye.
  • E. Kai
    Kai is the fictional half-Japanese, half-English outcast and skilled warrior portrayed by Keanu Reeves in the fantasy samurai film "47 Ronin."
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd7da0c8190a101747611ab17ee completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cd3cc44081909eea344aa5ea2441 completed May 16, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a07cd9bb104819091375260e98d657e completed May 16, 2026, 1:51 a.m.
Created at: April 10, 2026, 1:50 p.m.