Triple

T7790775
Position Surface form Disambiguated ID Type / Status
Subject Kamil Myśliwiec E187371 entity
Predicate employer P7 FINISHED
Object Trilon.io
Trilon.io is a software consulting and development company best known for its expertise in the NestJS framework and modern TypeScript-based backend solutions.
 E693664 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: Trilon.io | Statement: [Kamil Myśliwiec, employer, Trilon.io]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trilon.io
Context triple: [Kamil Myśliwiec, employer, Trilon.io]
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Trylon
    The Trylon was a tall, triangular spire that served as one of the iconic modernist centerpiece structures of the 1939–1940 New York World's Fair.
  • C. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • D. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • E. Trino
    Trino is a small historic town in the Piedmont region of northern Italy, known for its agricultural surroundings and proximity to the Po River.
  • 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: Trilon.io
Triple: [Kamil Myśliwiec, employer, Trilon.io]
Generated description
Trilon.io is a software consulting and development company best known for its expertise in the NestJS framework and modern TypeScript-based backend solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trilon.io
Target entity description: Trilon.io is a software consulting and development company best known for its expertise in the NestJS framework and modern TypeScript-based backend solutions.
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Trylon
    The Trylon was a tall, triangular spire that served as one of the iconic modernist centerpiece structures of the 1939–1940 New York World's Fair.
  • C. Troillongan
    Troillongan is the popular nickname for Norwegian football club Rosenborg BK, reflecting its playful, “little trolls” identity among supporters.
  • D. Tré
    Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
  • E. Trino
    Trino is a small historic town in the Piedmont region of northern Italy, known for its agricultural surroundings and proximity to the Po River.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7eac1988190aa65a987644db15c completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf631988481908373498aaf1ea0e8 completed March 30, 2026, 10:16 p.m.
NEDg Description generation batch_69caf820b05481908b405048c077ca2e completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa052d4481908b89f6001aa6ea01 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:25 p.m.