Triple
T9989584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urdu literature |
E196850
|
entity |
| Predicate | hasNotablePoet |
P4290
|
FINISHED |
| Object |
Ahmad Faraz
Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
|
E834349
|
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: Ahmad Faraz | Statement: [Urdu literature, hasNotablePoet, Ahmad Faraz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahmad Faraz Context triple: [Urdu literature, hasNotablePoet, Ahmad Faraz]
-
A.
Amjad Ali Shah
Amjad Ali Shah was the fourth Nawab of Awadh, known for his architectural patronage and contributions to Lucknow’s religious and cultural landscape.
-
B.
Nadeem Omar
Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
-
C.
Rehman Nizar Ali
Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
-
D.
Majeed Amjad
Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
-
E.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
- 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: Ahmad Faraz Triple: [Urdu literature, hasNotablePoet, Ahmad Faraz]
Generated description
Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahmad Faraz Target entity description: Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
-
A.
Amjad Ali Shah
Amjad Ali Shah was the fourth Nawab of Awadh, known for his architectural patronage and contributions to Lucknow’s religious and cultural landscape.
-
B.
Nadeem Omar
Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
-
C.
Rehman Nizar Ali
Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
-
D.
Majeed Amjad
Majeed Amjad was a prominent 20th-century Urdu poet known for his introspective, modernist verse and significant contribution to Pakistani literature.
-
E.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79f3df08190ab3094ad1cd5490f |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258190f408190949d50badb3ec6f9 |
completed | April 5, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69d2599e85e88190aad263e8ba169275 |
completed | April 5, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25a0cb08481909003b5bdab5c834b |
completed | April 5, 2026, 12:48 p.m. |
Created at: March 30, 2026, 8:50 p.m.