Triple
T3361824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fazl-e-Haq Khairabadi |
E70739
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
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.
|
E361998
|
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: Fazl | Statement: [Fazl-e-Haq Khairabadi, givenName, Fazl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fazl Context triple: [Fazl-e-Haq Khairabadi, givenName, Fazl]
-
A.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
B.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
C.
Ziauddin
Ziauddin is a male given name commonly used in Muslim communities, particularly in South Asia and the Middle East.
-
D.
Asad Allah
Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
-
E.
Hussain
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the 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: Fazl Triple: [Fazl-e-Haq Khairabadi, givenName, Fazl]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fazl Target entity description: 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.
-
A.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
B.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
C.
Ziauddin
Ziauddin is a male given name commonly used in Muslim communities, particularly in South Asia and the Middle East.
-
D.
Asad Allah
Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
-
E.
Hussain
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26906948190851a7b7d543a4d64 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367ebd33c8190956ddf7bc3f0563f |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36c6dde1c8190ae049bd59fa6101c |
completed | March 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36cd255508190847d6e017293558d |
completed | March 13, 2026, 1:48 a.m. |
Created at: March 8, 2026, 3:13 p.m.