Triple

T1055084
Position Surface form Disambiguated ID Type / Status
Subject Hafez E22782 entity
Predicate hasHonorificTitle P368 FINISHED
Object Khwāja
Khwāja is an honorific title of respect in Persian and Islamic cultures, historically used for learned, revered, or spiritually distinguished men such as the poet Hafez.
 E138507 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: Khwāja | Statement: [Hafez, hasHonorificTitle, Khwāja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khwāja
Context triple: [Hafez, hasHonorificTitle, Khwāja]
  • A. al-Muqtana Baha’uddin
    al-Muqtana Baha’uddin was a central early Druze religious leader and theologian who helped shape and consolidate the community’s doctrines and identity.
  • B. Shams-ud-Dīn
    Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
  • C. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • D. Jalāl al-Dīn
    Jalāl al-Dīn is the given name of the 13th-century Persian poet and Sufi mystic widely known in the West as Rumi.
  • E. Riazuddin
    Riazuddin was a prominent Pakistani theoretical physicist known for his significant contributions to particle physics and for helping advance high-energy physics research in Pakistan.
  • 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: Khwāja
Triple: [Hafez, hasHonorificTitle, Khwāja]
Generated description
Khwāja is an honorific title of respect in Persian and Islamic cultures, historically used for learned, revered, or spiritually distinguished men such as the poet Hafez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khwāja
Target entity description: Khwāja is an honorific title of respect in Persian and Islamic cultures, historically used for learned, revered, or spiritually distinguished men such as the poet Hafez.
  • A. al-Muqtana Baha’uddin
    al-Muqtana Baha’uddin was a central early Druze religious leader and theologian who helped shape and consolidate the community’s doctrines and identity.
  • B. Shams-ud-Dīn
    Shams-ud-Dīn is the formal given name of the famed 14th-century Persian lyric poet Hafez of Shiraz.
  • C. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • D. Jalāl al-Dīn
    Jalāl al-Dīn is the given name of the 13th-century Persian poet and Sufi mystic widely known in the West as Rumi.
  • E. Riazuddin
    Riazuddin was a prominent Pakistani theoretical physicist known for his significant contributions to particle physics and for helping advance high-energy physics research in Pakistan.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f2b76308190a843ccad1ef95f07 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fba00f0819086a0fffa090c5809 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac807ead9c819088f7195aec87a538 completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:42 p.m.