Triple
T9169757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahbub ul Haq |
E220052
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mahbub
Mahbub is a masculine given name commonly used in South Asian and Middle Eastern cultures, derived from Arabic and meaning "beloved."
|
E419046
|
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: Mahbub | Statement: [Mahbub ul Haq, givenName, Mahbub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahbub Context triple: [Mahbub ul Haq, givenName, Mahbub]
-
A.
Habib
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
-
B.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
C.
Salimullah
Salimullah was a prominent early 20th-century Bengali Muslim noble and political leader, best known for his role in founding the All-India Muslim League and advocating for Muslim interests in British India.
-
D.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
E.
Shamsuddin
Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
- 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: Mahbub Triple: [Mahbub ul Haq, givenName, Mahbub]
Generated description
Mahbub is a masculine given name commonly used in South Asian and Middle Eastern cultures, derived from Arabic and meaning "beloved."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahbub Target entity description: Mahbub is a masculine given name commonly used in South Asian and Middle Eastern cultures, derived from Arabic and meaning "beloved."
-
A.
Habib
chosen
Habib is a masculine given name of Arabic origin commonly used in North Africa and the Middle East.
-
B.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
C.
Salimullah
Salimullah was a prominent early 20th-century Bengali Muslim noble and political leader, best known for his role in founding the All-India Muslim League and advocating for Muslim interests in British India.
-
D.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
E.
Shamsuddin
Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
- F. None of above.
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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae0f3148190b111b22902cdb86c |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549746b0819099c2a591900f9c8c |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0558aeb7c8190a638e81bd0a6b47a |
completed | April 4, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0598de6388190a535748893dfb09c |
completed | April 4, 2026, 12:21 a.m. |
Created at: March 30, 2026, 7:22 p.m.