Triple
T20271560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azam Khan |
E499105
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tazeen Fatma
Tazeen Fatma is an Indian politician and academic who has served as a legislator in Uttar Pradesh and is known for her association with the Samajwadi Party.
|
E1422593
|
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: Tazeen Fatma | Statement: [Azam Khan, spouse, Tazeen Fatma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tazeen Fatma Context triple: [Azam Khan, spouse, Tazeen Fatma]
-
A.
Hina Jilani
Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
-
B.
Nasira Iqbal
Nasira Iqbal is a Pakistani jurist and former judge of the Lahore High Court, recognized as one of the country’s prominent female legal figures.
-
C.
Lateef Fatima Khan
Lateef Fatima Khan was the mother of Bollywood superstar Shah Rukh Khan and came from a respected Muslim family with a background in social service and activism.
-
D.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
E.
Intizar Hussain
Intizar Hussain was a prominent Pakistani writer and critic renowned for his Urdu short stories and novels that blend tradition, memory, and modernist narrative techniques.
- 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: Tazeen Fatma Triple: [Azam Khan, spouse, Tazeen Fatma]
Generated description
Tazeen Fatma is an Indian politician and academic who has served as a legislator in Uttar Pradesh and is known for her association with the Samajwadi Party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tazeen Fatma Target entity description: Tazeen Fatma is an Indian politician and academic who has served as a legislator in Uttar Pradesh and is known for her association with the Samajwadi Party.
-
A.
Hina Jilani
Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
-
B.
Nasira Iqbal
Nasira Iqbal is a Pakistani jurist and former judge of the Lahore High Court, recognized as one of the country’s prominent female legal figures.
-
C.
Lateef Fatima Khan
Lateef Fatima Khan was the mother of Bollywood superstar Shah Rukh Khan and came from a respected Muslim family with a background in social service and activism.
-
D.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
E.
Intizar Hussain
Intizar Hussain was a prominent Pakistani writer and critic renowned for his Urdu short stories and novels that blend tradition, memory, and modernist narrative techniques.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675de35188190840dc7d04c1d5fd9 |
completed | April 20, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a1d098881908705463ceb6a331c |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085aecd7e48190a82b7cc8ac9f53ba |
completed | May 16, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085baddf1c8190ac7444a8e1d5128f |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 11, 2026, 11:42 p.m.