Triple
T1296273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maliki school |
E27659
|
entity |
| Predicate | associatedScholar |
P28365
|
FINISHED |
| Object |
Al-Lakhmi
Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
|
E152718
|
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-Lakhmi | Statement: [Maliki school, associatedScholar, Al-Lakhmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Lakhmi Context triple: [Maliki school, associatedScholar, Al-Lakhmi]
-
A.
Maharraqa
Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
-
B.
Khaldoon
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
-
C.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
D.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
-
E.
Al Mahara
Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
- 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-Lakhmi Triple: [Maliki school, associatedScholar, Al-Lakhmi]
Generated description
Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Lakhmi Target entity description: Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
-
A.
Maharraqa
Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
-
B.
Khaldoon
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
-
C.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
D.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
-
E.
Al Mahara
Al Mahara is a high-end seafood restaurant in Dubai renowned for its immersive floor-to-ceiling aquarium setting inside the iconic Burj Al Arab hotel.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c48bec548190b25d4a74b323cc1b |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf243adc8190b8516554701b4290 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acc2dc5c4c8190b6ba418aaacd1101 |
completed | March 8, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc3ba816081908892101de3bfbf3e |
completed | March 8, 2026, 12:32 a.m. |
Created at: March 1, 2026, 7:51 p.m.