Triple
T451979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qaumi Taranah |
E7149
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
|
E56983
|
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: Hafeez Jalandhari | Statement: [Qaumi Taranah, lyricist, Hafeez Jalandhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hafeez Jalandhari Context triple: [Qaumi Taranah, lyricist, Hafeez Jalandhari]
-
A.
M. Azhar
M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
-
B.
Mir Taqi Mir
Mir Taqi Mir was an 18th-century South Asian poet renowned as one of the greatest pioneers and masters of classical Urdu ghazal poetry.
-
C.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
-
D.
Allama Muhammad Iqbal
Allama Muhammad Iqbal was a renowned philosopher-poet of British India, celebrated for his influential Urdu and Persian poetry and for inspiring the ideological foundation of Pakistan.
-
E.
Asser Malik
Asser Malik is a Pakistani cricket executive and sports entrepreneur best known as the husband of Nobel Peace Prize laureate Malala Yousafzai.
- 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: Hafeez Jalandhari Triple: [Qaumi Taranah, lyricist, Hafeez Jalandhari]
Generated description
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hafeez Jalandhari Target entity description: Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
A.
M. Azhar
M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
-
B.
Mir Taqi Mir
Mir Taqi Mir was an 18th-century South Asian poet renowned as one of the greatest pioneers and masters of classical Urdu ghazal poetry.
-
C.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
-
D.
Allama Muhammad Iqbal
Allama Muhammad Iqbal was a renowned philosopher-poet of British India, celebrated for his influential Urdu and Persian poetry and for inspiring the ideological foundation of Pakistan.
-
E.
Asser Malik
Asser Malik is a Pakistani cricket executive and sports entrepreneur best known as the husband of Nobel Peace Prize laureate Malala Yousafzai.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef854f7481909dc2207faf0327ec |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44cb9efc48190a161980e5506e5c8 |
completed | March 1, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69a44d3af80081908fe11a4f873ee7a9 |
completed | March 1, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44da8ae788190b8e1694f534043d4 |
completed | March 1, 2026, 2:31 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.