Triple

T16300646
Position Surface form Disambiguated ID Type / Status
Subject Hayri İrdal E395775 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Afife
Afife is a fictional character in Ahmet Hamdi Tanpınar’s novel "The Time Regulation Institute," known for her complex personal ties to the protagonist, Hayri İrdal.
 E1204995 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: Afife | Statement: [Hayri İrdal, hasRelationshipWith, Afife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afife
Context triple: [Hayri İrdal, hasRelationshipWith, Afife]
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Feride
    Feride is the spirited, idealistic young woman who serves as the protagonist of Reşat Nuri Güntekin’s classic Turkish novel "Çalıkuşu."
  • E. Areza
    Areza is a town located in Eritrea's southern Debub Region.
  • 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: Afife
Triple: [Hayri İrdal, hasRelationshipWith, Afife]
Generated description
Afife is a fictional character in Ahmet Hamdi Tanpınar’s novel "The Time Regulation Institute," known for her complex personal ties to the protagonist, Hayri İrdal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afife
Target entity description: Afife is a fictional character in Ahmet Hamdi Tanpınar’s novel "The Time Regulation Institute," known for her complex personal ties to the protagonist, Hayri İrdal.
  • A. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • B. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Feride
    Feride is the spirited, idealistic young woman who serves as the protagonist of Reşat Nuri Güntekin’s classic Turkish novel "Çalıkuşu."
  • E. Areza
    Areza is a town located in Eritrea's southern Debub Region.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00204bc3dc8190af075707f8989e3a completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00215cc7a48190a5c4219d15749aa2 completed May 10, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:06 a.m.