Triple

T16728960
Position Surface form Disambiguated ID Type / Status
Subject Stem Player E406534 entity
Predicate developer P73 FINISHED
Object Kano
Kano is a consumer electronics and education-focused technology company known for creating modular, learn-to-code kits and devices such as the Stem Player.
 E1231154 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: Kano | Statement: [Stem Player, developer, Kano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kano
Context triple: [Stem Player, developer, Kano]
  • A. Kano
    Kano is a long-running Mortal Kombat villain known as a ruthless mercenary and leader of the Black Dragon crime syndicate, often depicted with a cybernetic eye and expertise in knives and dirty fighting tactics.
  • B. Kano
    Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • C. Sokoto
    Sokoto is a historic city in northwestern Nigeria that served as the capital of the Sokoto Caliphate and remains an important cultural and Islamic scholarly center.
  • D. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • E. Dutse
    Dutse is a locality within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council on the outskirts of Abuja.
  • 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: Kano
Triple: [Stem Player, developer, Kano]
Generated description
Kano is a consumer electronics and education-focused technology company known for creating modular, learn-to-code kits and devices such as the Stem Player.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kano
Target entity description: Kano is a consumer electronics and education-focused technology company known for creating modular, learn-to-code kits and devices such as the Stem Player.
  • A. Kano
    Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • B. Kano
    Kano is a long-running Mortal Kombat villain known as a ruthless mercenary and leader of the Black Dragon crime syndicate, often depicted with a cybernetic eye and expertise in knives and dirty fighting tactics.
  • C. Sokoto
    Sokoto is a historic city in northwestern Nigeria that served as the capital of the Sokoto Caliphate and remains an important cultural and Islamic scholarly center.
  • D. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • E. Dutse
    Dutse is a locality within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council on the outskirts of Abuja.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874ad5b481908199e4d99ac4225e completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.