Triple
T21726961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasim Akram |
E536297
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Huma Wasim
Huma Wasim was the first wife of legendary Pakistani cricketer Wasim Akram, known publicly largely through her marriage to him and her untimely death in 2009.
|
E1498022
|
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: Huma Wasim | Statement: [Wasim Akram, spouse, Huma Wasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huma Wasim Context triple: [Wasim Akram, spouse, Huma Wasim]
-
A.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
B.
Haseena Wahab
Haseena Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
-
C.
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.
-
D.
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.
-
E.
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.
- 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: Huma Wasim Triple: [Wasim Akram, spouse, Huma Wasim]
Generated description
Huma Wasim was the first wife of legendary Pakistani cricketer Wasim Akram, known publicly largely through her marriage to him and her untimely death in 2009.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huma Wasim Target entity description: Huma Wasim was the first wife of legendary Pakistani cricketer Wasim Akram, known publicly largely through her marriage to him and her untimely death in 2009.
-
A.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
B.
Haseena Wahab
Haseena Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd973ac648190bb09e20ac1be2d9b |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24bd96a881908fdef9990e8dc2a9 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a2752f29c81909dca3f8a54510b2c |
completed | May 17, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a27cb1e0c8190a0eafacb680552d9 |
completed | May 17, 2026, 8:40 p.m. |
Created at: April 16, 2026, 6:48 p.m.