Triple

T18832657
Position Surface form Disambiguated ID Type / Status
Subject Makenna James E460572 entity
Predicate hasGivenName P17 FINISHED
Object Makenna
Makenna is a feminine given name of modern American origin, often considered a variant of McKenna.
E884001 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: Makenna | Statement: [Makenna James, hasGivenName, Makenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makenna
Context triple: [Makenna James, hasGivenName, Makenna]
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Ashlea
    Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
  • C. Carissa
    Carissa is a genus of flowering shrubs and small trees known for their glossy leaves, fragrant white flowers, and often spiny branches, many of which produce edible, berry-like fruits.
  • D. Kianna
    Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
  • E. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • 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: Makenna
Triple: [Makenna James, hasGivenName, Makenna]
Generated description
Makenna is a feminine given name of modern American origin, often considered a variant of McKenna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makenna
Target entity description: Makenna is a feminine given name of modern American origin, often considered a variant of McKenna.
  • A. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • B. Ashlea
    Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
  • C. Carissa
    Carissa is a genus of flowering shrubs and small trees known for their glossy leaves, fragrant white flowers, and often spiny branches, many of which produce edible, berry-like fruits.
  • D. Kianna chosen
    Kianna is a feminine given name, often considered a modern or alternative spelling of names like Kiana or Kiana-derived variants.
  • E. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • F. None of above.

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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99a792c81908b9a0741ef6ee782 completed April 20, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05676782048190810125e6b9317bcd completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a05692c88c481909a7e321a4975e12f completed May 14, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0569c79b5c8190a63326c332674dd7 completed May 14, 2026, 6:20 a.m.
Created at: April 10, 2026, 11:56 a.m.