Triple
T7856985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Monument |
E182401
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Arif Masood |
E182401
|
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: Arif Masood | Statement: [Pakistan Monument, architect, Arif Masood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arif Masood Context triple: [Pakistan Monument, architect, Arif Masood]
-
A.
Arif Masood
chosen
Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
-
B.
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.
-
C.
M. S. Khan
M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
-
D.
Najm Hosain Syed
Najm Hosain Syed is a prominent Pakistani writer, critic, and playwright renowned for his influential contributions to modern Punjabi literature and literary criticism.
-
E.
Majeed Amjad
Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a75de548190af5653409a3b3881 |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc560e96f0819080031a1a3781422a |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:52 p.m.