Triple
T7719736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Suyuti |
E174975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur
Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur is a comprehensive Sunni Qur’anic exegesis that compiles interpretations based primarily on transmitted reports from the Prophet, his companions, and early Islamic scholars.
|
E684584
|
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: Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur | Statement: [Al-Suyuti, notableWork, Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur Context triple: [Al-Suyuti, notableWork, Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur]
-
A.
Zad al-Masir fi Ilm al-Tafsir
Zad al-Masir fi Ilm al-Tafsir is a concise yet comprehensive Qur’anic exegesis that synthesizes earlier tafsir traditions and linguistic analysis, authored by the medieval Hanbali scholar Ibn al-Jawzi.
-
B.
Al-Fawz al-Kabir fi Usul al-Tafsir
Al-Fawz al-Kabir fi Usul al-Tafsir is a seminal Islamic scholarly work that systematically outlines the principles and methodology for interpreting the Qur’an, authored by the renowned Indian scholar Shah Waliullah Dehlawi.
-
C.
Tafsīr al-Mīzān
Tafsīr al-Mīzān is a monumental 20th-century Qur’anic commentary by Allameh Tabataba’i, renowned for its philosophical depth and its method of interpreting the Qur’an through the Qur’an itself.
-
D.
Tafsīr al-Jalālayn
Tafsīr al-Jalālayn is a widely studied, concise Sunni Qur’anic commentary jointly authored by the scholars Jalāl al-Dīn al-Maḥallī and Jalāl al-Dīn al-Suyūṭī.
-
E.
al-Manār Tafsīr
al-Manār Tafsīr is a modernist Qur’anic commentary associated with Rashid Rida and Muhammad Abduh that emphasizes rational interpretation, social reform, and engagement with contemporary issues in the Muslim world.
- 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: Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur Triple: [Al-Suyuti, notableWork, Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur]
Generated description
Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur is a comprehensive Sunni Qur’anic exegesis that compiles interpretations based primarily on transmitted reports from the Prophet, his companions, and early Islamic scholars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur Target entity description: Al-Durr al-Manthur fi al-Tafsir bi'l-Ma'thur is a comprehensive Sunni Qur’anic exegesis that compiles interpretations based primarily on transmitted reports from the Prophet, his companions, and early Islamic scholars.
-
A.
Zad al-Masir fi Ilm al-Tafsir
Zad al-Masir fi Ilm al-Tafsir is a concise yet comprehensive Qur’anic exegesis that synthesizes earlier tafsir traditions and linguistic analysis, authored by the medieval Hanbali scholar Ibn al-Jawzi.
-
B.
Al-Fawz al-Kabir fi Usul al-Tafsir
Al-Fawz al-Kabir fi Usul al-Tafsir is a seminal Islamic scholarly work that systematically outlines the principles and methodology for interpreting the Qur’an, authored by the renowned Indian scholar Shah Waliullah Dehlawi.
-
C.
Tafsīr al-Mīzān
Tafsīr al-Mīzān is a monumental 20th-century Qur’anic commentary by Allameh Tabataba’i, renowned for its philosophical depth and its method of interpreting the Qur’an through the Qur’an itself.
-
D.
Tafsīr al-Jalālayn
Tafsīr al-Jalālayn is a widely studied, concise Sunni Qur’anic commentary jointly authored by the scholars Jalāl al-Dīn al-Maḥallī and Jalāl al-Dīn al-Suyūṭī.
-
E.
al-Manār Tafsīr
al-Manār Tafsīr is a modernist Qur’anic commentary associated with Rashid Rida and Muhammad Abduh that emphasizes rational interpretation, social reform, and engagement with contemporary issues in the Muslim world.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702eedc088190be645c029dfc462a |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b513f7d481908d2ce64d9685289c |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b6f7148081908f699bd5600b6c57 |
completed | March 29, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b7590ac08190ae43036828235ca7 |
completed | March 29, 2026, 5:23 a.m. |
Created at: March 27, 2026, 4:05 p.m.