Triple
T2554420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Anthem of Pakistan |
E56700
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Hafeez Jalandhari |
E56983
|
NE FINISHED |
How this triple was built (2 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: [National Anthem of Pakistan, writer, Hafeez Jalandhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hafeez Jalandhari Context triple: [National Anthem of Pakistan, writer, Hafeez Jalandhari]
-
A.
Hafeez Jalandhari
chosen
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
B.
Sachal Sarmast
Sachal Sarmast was an 18th–19th century Sindhi Sufi poet and mystic renowned for his humanist, pluralistic verse composed in multiple South Asian languages.
-
C.
Fazl-e-Haq Khairabadi
Fazl-e-Haq Khairabadi was a 19th-century Indian Islamic scholar, poet, and prominent figure in the 1857 uprising against British rule.
-
D.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
E.
Zaved Mahmood
Zaved Mahmood is a Bangladeshi-born human rights lawyer and activist, known for his work with the United Nations and as the husband of British novelist Philip Hensher.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30d20e081908587c76064573150 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1ad6b4819097f1d18a12aa2b89 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:48 p.m.