Triple
T1790712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syriana |
E39487
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
|
E197803
|
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: Mazhar Munir | Statement: [Syriana, stars, Mazhar Munir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazhar Munir Context triple: [Syriana, stars, Mazhar Munir]
-
A.
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
B.
Ghulam Mustafa Tabassum
Ghulam Mustafa Tabassum was a prominent Pakistani poet and writer known for his influential contributions to Punjabi and Urdu literature, especially children’s poetry.
-
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.
Arif Masood
Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
-
E.
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.
- 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: Mazhar Munir Triple: [Syriana, stars, Mazhar Munir]
Generated description
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mazhar Munir Target entity description: Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
A.
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
B.
Ghulam Mustafa Tabassum
Ghulam Mustafa Tabassum was a prominent Pakistani poet and writer known for his influential contributions to Punjabi and Urdu literature, especially children’s poetry.
-
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.
Arif Masood
Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
-
E.
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.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6512804c8190a5743c10bd37f83f |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9aa10b881909923b8d0f3a30ee6 |
completed | March 8, 2026, 4:54 p.m. |
| NEDg | Description generation | batch_69adab06ad88819082052c417f76dd01 |
completed | March 8, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaeb31430819083d033a3890eba49 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:32 p.m.