Triple

T20065546
Position Surface form Disambiguated ID Type / Status
Subject Sadeq Larijani E499596 entity
Predicate studiedUnder P7251 FINISHED
Object Abbas Hosseini Kashani
Abbas Hosseini Kashani is an Islamic scholar and cleric known for mentoring prominent Iranian jurist and politician Sadeq Larijani.
 E1419650 NE FINISHED

How this triple was built (3 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.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abbas Hosseini Kashani
Context triple: [Sadeq Larijani, studiedUnder, Abbas Hosseini Kashani]
  • A. Abdul-Karim Haeri Yazdi
    Abdul-Karim Haeri Yazdi was a prominent Iranian Shia cleric and jurist, best known as the founder of the Qom seminary and a leading marjaʿ of the early 20th century.
  • B. Mohammad Reza Isfahani
    Mohammad Reza Isfahani was a prominent Safavid-era Iranian architect best known for designing masterpieces of Isfahan’s royal square, including the celebrated Sheikh Lotfollah Mosque.
  • C. Hossein Ala'
    Hossein Ala' was an Iranian statesman and diplomat who served multiple times in high government office, including as prime minister during the Pahlavi era.
  • D. Gholam Reza Azhari
    Gholam Reza Azhari was an Iranian military officer and general who briefly served as prime minister during the final months of Mohammad Reza Shah Pahlavi’s reign in 1978.
  • E. Mirza Ghasemi
    Mirza Ghasemi is a popular smoky eggplant and tomato dish from northern Iran, especially associated with the cuisine of Gilan Province by the Caspian Sea.
  • 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: Abbas Hosseini Kashani
Triple: [Sadeq Larijani, studiedUnder, Abbas Hosseini Kashani]
Generated description
Abbas Hosseini Kashani is an Islamic scholar and cleric known for mentoring prominent Iranian jurist and politician Sadeq Larijani.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abbas Hosseini Kashani
Target entity description: Abbas Hosseini Kashani is an Islamic scholar and cleric known for mentoring prominent Iranian jurist and politician Sadeq Larijani.
  • A. Abdul-Karim Haeri Yazdi
    Abdul-Karim Haeri Yazdi was a prominent Iranian Shia cleric and jurist, best known as the founder of the Qom seminary and a leading marjaʿ of the early 20th century.
  • B. Mohammad Reza Isfahani
    Mohammad Reza Isfahani was a prominent Safavid-era Iranian architect best known for designing masterpieces of Isfahan’s royal square, including the celebrated Sheikh Lotfollah Mosque.
  • C. Hossein Ala'
    Hossein Ala' was an Iranian statesman and diplomat who served multiple times in high government office, including as prime minister during the Pahlavi era.
  • D. Gholam Reza Azhari
    Gholam Reza Azhari was an Iranian military officer and general who briefly served as prime minister during the final months of Mohammad Reza Shah Pahlavi’s reign in 1978.
  • E. Mirza Ghasemi
    Mirza Ghasemi is a popular smoky eggplant and tomato dish from northern Iran, especially associated with the cuisine of Gilan Province by the Caspian Sea.
  • F. None of above. chosen

Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b761ce08190b92227994897ed07 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c74632c81909480eac174fdcad3 completed May 16, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_6a084d2161cc81908e1b5993cea934a0 completed May 16, 2026, 10:55 a.m.
Created at: April 11, 2026, 3:39 p.m.