Triple

T13287859
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Divan literature E316487 entity
Predicate hasNotablePoet P4290 FINISHED
Object Veysi
Veysi was an Ottoman Divan poet and prose writer known for his ornate style and contributions to classical Ottoman literature.
E1032724 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: Veysi | Statement: [Ottoman Divan literature, hasNotablePoet, Veysi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veysi
Context triple: [Ottoman Divan literature, hasNotablePoet, Veysi]
  • A. Güemes
    Güemes is a Spanish surname most notably associated with Argentine independence leader Martín Miguel de Güemes.
  • B. Thiesi
    Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
  • C. Arisbe
    Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
  • D. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • E. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • 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: Veysi
Triple: [Ottoman Divan literature, hasNotablePoet, Veysi]
Generated description
Veysi was an Ottoman Divan poet and prose writer known for his ornate style and contributions to classical Ottoman literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veysi
Target entity description: Veysi was an Ottoman Divan poet and prose writer known for his ornate style and contributions to classical Ottoman literature.
  • A. Güemes
    Güemes is a Spanish surname most notably associated with Argentine independence leader Martín Miguel de Güemes.
  • B. Thiesi
    Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
  • C. Arisbe
    Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
  • D. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • E. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f718705a44819084b97d35a10ee50d completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:27 p.m.