Triple

T6225790
Position Surface form Disambiguated ID Type / Status
Subject Kelan Martin E139229 entity
Predicate givenName P17 FINISHED
Object Kelan
Kelan is a masculine given name used in various English-speaking countries, sometimes considered a modern variant of names like Kellen or Keelan.
 E576895 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: Kelan | Statement: [Kelan Martin, givenName, Kelan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kelan
Context triple: [Kelan Martin, givenName, Kelan]
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • 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: Kelan
Triple: [Kelan Martin, givenName, Kelan]
Generated description
Kelan is a masculine given name used in various English-speaking countries, sometimes considered a modern variant of names like Kellen or Keelan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kelan
Target entity description: Kelan is a masculine given name used in various English-speaking countries, sometimes considered a modern variant of names like Kellen or Keelan.
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • E. Kiloran
    Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d42c688190be4d8d8325d6daaa completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21131f31881909704aac2130d25a7 completed March 24, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c2118792948190b54b6b54d52d291d completed March 24, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:22 p.m.