Triple

T12039169
Position Surface form Disambiguated ID Type / Status
Subject Kei Kamara E286616 entity
Predicate givenName P17 FINISHED
Object Kei
Kei is a common given name used in various cultures, including Japanese and some African communities, for both males and females.
 E961486 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: Kei | Statement: [Kei Kamara, givenName, Kei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kei
Context triple: [Kei Kamara, givenName, Kei]
  • A. Keiun
    Keiun was a Japanese era name (nengō) from the early 8th century, used during the reign of Emperor Monmu.
  • B. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • C. Makoto
    Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
  • D. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • E. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • 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: Kei
Triple: [Kei Kamara, givenName, Kei]
Generated description
Kei is a common given name used in various cultures, including Japanese and some African communities, for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kei
Target entity description: Kei is a common given name used in various cultures, including Japanese and some African communities, for both males and females.
  • A. Keiun
    Keiun was a Japanese era name (nengō) from the early 8th century, used during the reign of Emperor Monmu.
  • B. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • C. Makoto
    Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
  • D. Katsuya
    Katsuya is a Japanese given name commonly used for males.
  • E. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.