Triple

T16662872
Position Surface form Disambiguated ID Type / Status
Subject Unsuri E404902 entity
Predicate nameInPersian P46411 FINISHED
Object عنصری
عنصری شاعر نامدار دربار غزنوی و از برجسته‌ترین قصیده‌سرایان زبان فارسی در سدهٔ پنجم هجری بود.
E1225994 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: عنصری | Statement: [Unsuri, nameInPersian, عنصری]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: عنصری
Context triple: [Unsuri, nameInPersian, عنصری]
  • A. Zinin
    Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
  • B. Phosphoros
    Phosphoros is an epithet meaning “light-bringer,” associated with Hecate in her aspect as a luminous, guiding deity linked to the appearance of the morning star.
  • C. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • D. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • E. Argyrol
    Argyrol is an antiseptic silver-protein compound historically used as an eye and mucous membrane disinfectant in the early 20th century.
  • 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: عنصری
Triple: [Unsuri, nameInPersian, عنصری]
Generated description
عنصری شاعر نامدار دربار غزنوی و از برجسته‌ترین قصیده‌سرایان زبان فارسی در سدهٔ پنجم هجری بود.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: عنصری
Target entity description: عنصری شاعر نامدار دربار غزنوی و از برجسته‌ترین قصیده‌سرایان زبان فارسی در سدهٔ پنجم هجری بود.
  • A. Zinin
    Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
  • B. Phosphoros
    Phosphoros is an epithet meaning “light-bringer,” associated with Hecate in her aspect as a luminous, guiding deity linked to the appearance of the morning star.
  • C. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • D. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • E. Argyrol
    Argyrol is an antiseptic silver-protein compound historically used as an eye and mucous membrane disinfectant in the early 20th century.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c99efa8819096c6325ff4898bd7 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008585ba6c8190b5c870ebe1c93ffc completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:18 a.m.