Triple
T22688822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Asia Cup |
E560992
|
entity |
| Predicate | mostWicketsPlayer |
P23687
|
FINISHED |
| Object |
Abdul Razzaq
Abdul Razzaq is a former Pakistani all-rounder renowned for his powerful lower-order batting and effective medium-pace bowling in international cricket.
|
E1548801
|
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: Abdul Razzaq | Statement: [2000 Asia Cup, mostWicketsPlayer, Abdul Razzaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdul Razzaq Context triple: [2000 Asia Cup, mostWicketsPlayer, Abdul Razzaq]
-
A.
Tariq Khan
Tariq Khan was an individual killed during the U.S. special forces raid in Abbottabad, Pakistan, that targeted Osama bin Laden.
-
B.
Qais Khan
Qais Khan is an actor known for his role in the television series "Tehran."
-
C.
Fayyazuddin
Fayyazuddin is a Pakistani theoretical physicist known for his contributions to particle physics and for being a prominent student and collaborator of Nobel laureate Abdus Salam.
-
D.
Zafar Saifullah
Zafar Saifullah was a senior Indian civil servant who served as Cabinet Secretary and held several key administrative positions in the Government of India.
-
E.
Asadullah Wajhi
Asadullah Wajhi was a prominent Dakhni-language poet known for his contributions to early Urdu literary culture in the Deccan region.
- 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: Abdul Razzaq Triple: [2000 Asia Cup, mostWicketsPlayer, Abdul Razzaq]
Generated description
Abdul Razzaq is a former Pakistani all-rounder renowned for his powerful lower-order batting and effective medium-pace bowling in international cricket.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abdul Razzaq Target entity description: Abdul Razzaq is a former Pakistani all-rounder renowned for his powerful lower-order batting and effective medium-pace bowling in international cricket.
-
A.
Tariq Khan
Tariq Khan was an individual killed during the U.S. special forces raid in Abbottabad, Pakistan, that targeted Osama bin Laden.
-
B.
Qais Khan
Qais Khan is an actor known for his role in the television series "Tehran."
-
C.
Fayyazuddin
Fayyazuddin is a Pakistani theoretical physicist known for his contributions to particle physics and for being a prominent student and collaborator of Nobel laureate Abdus Salam.
-
D.
Zafar Saifullah
Zafar Saifullah was a senior Indian civil servant who served as Cabinet Secretary and held several key administrative positions in the Government of India.
-
E.
Asadullah Wajhi
Asadullah Wajhi was a prominent Dakhni-language poet known for his contributions to early Urdu literary culture in the Deccan region.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f90304819084b6c4c944cbf504 |
completed | May 18, 2026, 8:18 p.m. |
| NEDg | Description generation | batch_6a0b7505c99081908a9faac30451e6e8 |
completed | May 18, 2026, 8:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b761510b48190a09722be3fca7e93 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:13 p.m.