Triple
T13432238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At-Taj wa al-Iklil |
E313640
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
al-Mawwāq
al-Mawwāq was a medieval Islamic jurist and scholar best known for his influential Maliki fiqh commentary At-Taj wa al-Iklil.
|
E1040635
|
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-Mawwāq | Statement: [At-Taj wa al-Iklil, author, al-Mawwāq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Mawwāq Context triple: [At-Taj wa al-Iklil, author, al-Mawwāq]
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Al-Rafi'i
Al-Rafi'i was a prominent medieval Islamic jurist and theologian renowned for his influential contributions to Shafi'i jurisprudence.
-
C.
Al-Duri
Al-Duri was a prominent early Islamic scholar and Qur’anic reciter best known as one of the principal transmitters of the canonical reading of Abu Amr ibn al-Ala.
-
D.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
-
E.
Al-Mohager
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
- 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-Mawwāq Triple: [At-Taj wa al-Iklil, author, al-Mawwāq]
Generated description
al-Mawwāq was a medieval Islamic jurist and scholar best known for his influential Maliki fiqh commentary At-Taj wa al-Iklil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: al-Mawwāq Target entity description: al-Mawwāq was a medieval Islamic jurist and scholar best known for his influential Maliki fiqh commentary At-Taj wa al-Iklil.
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Al-Rafi'i
Al-Rafi'i was a prominent medieval Islamic jurist and theologian renowned for his influential contributions to Shafi'i jurisprudence.
-
C.
Al-Duri
Al-Duri was a prominent early Islamic scholar and Qur’anic reciter best known as one of the principal transmitters of the canonical reading of Abu Amr ibn al-Ala.
-
D.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
-
E.
Al-Mohager
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.