Triple

T8662083
Position Surface form Disambiguated ID Type / Status
Subject Jakovali Hassan Mosque E205571 entity
Predicate namedAfter P63 FINISHED
Object Jakovali Hassan
Jakovali Hassan was an Ottoman official and benefactor from the 16th century, remembered primarily as the namesake and patron of the historic Jakovali Hassan Mosque in Pécs, Hungary.
 E749029 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: Jakovali Hassan | Statement: [Jakovali Hassan Mosque, namedAfter, Jakovali Hassan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jakovali Hassan
Context triple: [Jakovali Hassan Mosque, namedAfter, Jakovali Hassan]
  • A. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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: Jakovali Hassan
Triple: [Jakovali Hassan Mosque, namedAfter, Jakovali Hassan]
Generated description
Jakovali Hassan was an Ottoman official and benefactor from the 16th century, remembered primarily as the namesake and patron of the historic Jakovali Hassan Mosque in Pécs, Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jakovali Hassan
Target entity description: Jakovali Hassan was an Ottoman official and benefactor from the 16th century, remembered primarily as the namesake and patron of the historic Jakovali Hassan Mosque in Pécs, Hungary.
  • A. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • B. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • C. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • E. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4872a190819087d679f3006bd030 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0518248190ba0d3a87d11dff86 completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8d530081908f5a52d5d76bd414 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf7c66308190b9fb87bc0ab510a8 completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:30 p.m.