Triple
T3592191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuja Shah Durrani |
E76050
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shuja
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
|
E371919
|
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: Shuja | Statement: [Shuja Shah Durrani, givenName, Shuja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuja Context triple: [Shuja Shah Durrani, givenName, Shuja]
-
A.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
B.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
C.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
D.
Al-Lakhmi
Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
-
E.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
- 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: Shuja Triple: [Shuja Shah Durrani, givenName, Shuja]
Generated description
Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shuja Target entity description: Shuja is a given name most notably associated with Shuja Shah Durrani, a 19th-century ruler of the Durrani Empire in Afghanistan.
-
A.
An-Najm
An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
-
B.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
C.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
D.
Al-Lakhmi
Al-Lakhmi was a prominent medieval Maliki jurist and legal scholar whose opinions significantly shaped the development of Maliki jurisprudence.
-
E.
Dhulandi
Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15a546481909c72dac80d65e1fb |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4030bc5f081908d56edc4ff550d77 |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b403c9f6788190be21ee4c849fba60 |
completed | March 13, 2026, 12:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b408744dcc819081308b7182a40c88 |
completed | March 13, 2026, 12:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.