Triple

T9123826
Position Surface form Disambiguated ID Type / Status
Subject Igor Sechin E218923 entity
Predicate familyName P18 FINISHED
Object Sechin
Sechin is a Russian surname most prominently associated with Igor Sechin, a powerful Russian businessman and close ally of Vladimir Putin.
 E779196 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: Sechin | Statement: [Igor Sechin, familyName, Sechin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sechin
Context triple: [Igor Sechin, familyName, Sechin]
  • A. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • B. Koyra Chiini
    Koyra Chiini is a Songhay language variety spoken primarily in and around Timbuktu in Mali.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Chʼol
    Chʼol is a Mayan language spoken primarily in the Mexican states of Chiapas and Tabasco by the Chʼol people, known for its rich verbal morphology and importance to contemporary Maya culture.
  • 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: Sechin
Triple: [Igor Sechin, familyName, Sechin]
Generated description
Sechin is a Russian surname most prominently associated with Igor Sechin, a powerful Russian businessman and close ally of Vladimir Putin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sechin
Target entity description: Sechin is a Russian surname most prominently associated with Igor Sechin, a powerful Russian businessman and close ally of Vladimir Putin.
  • A. Sangolquí
    Sangolquí is a city in central Ecuador known as a growing suburban and commercial center near the capital, Quito, within Pichincha Province.
  • B. Koyra Chiini
    Koyra Chiini is a Songhay language variety spoken primarily in and around Timbuktu in Mali.
  • C. Chinnha
    Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Chʼol
    Chʼol is a Mayan language spoken primarily in the Mexican states of Chiapas and Tabasco by the Chʼol people, known for its rich verbal morphology and importance to contemporary Maya culture.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030988a888190b5a1e4fd6bd7fcee completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0316f47c88190920843b469d15069 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032778adc8190a087497507a6e1ca completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:17 p.m.