Triple
T22273807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Rifles |
E550548
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Anwar Siraj
Anwar Siraj is a cinematographer known for his work on the Hindi film "Five Rifles."
|
E1528259
|
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: Anwar Siraj | Statement: [Five Rifles, cinematographyBy, Anwar Siraj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anwar Siraj Context triple: [Five Rifles, cinematographyBy, Anwar Siraj]
-
A.
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."
-
B.
Tariq Anwar
Tariq Anwar is an Indian politician best known for co-founding the Nationalist Congress Party and serving as a prominent parliamentarian and minister.
-
C.
Mohammed Riaz
Mohammed Riaz is a film producer best known for his work on the Indian drama film "Virasat."
-
D.
Sajjad Zaheer
Sajjad Zaheer was an Indian Urdu writer, Marxist intellectual, and political activist who co-founded and led the Progressive Writers' Movement in South Asia.
-
E.
Sajid Ali Sadpara
Sajid Ali Sadpara is a Pakistani high-altitude mountaineer known for his ascents of some of the world’s highest peaks and for continuing the climbing legacy of his father, the famed climber Ali Sadpara.
- 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: Anwar Siraj Triple: [Five Rifles, cinematographyBy, Anwar Siraj]
Generated description
Anwar Siraj is a cinematographer known for his work on the Hindi film "Five Rifles."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anwar Siraj Target entity description: Anwar Siraj is a cinematographer known for his work on the Hindi film "Five Rifles."
-
A.
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."
-
B.
Tariq Anwar
Tariq Anwar is an Indian politician best known for co-founding the Nationalist Congress Party and serving as a prominent parliamentarian and minister.
-
C.
Mohammed Riaz
Mohammed Riaz is a film producer best known for his work on the Indian drama film "Virasat."
-
D.
Sajjad Zaheer
Sajjad Zaheer was an Indian Urdu writer, Marxist intellectual, and political activist who co-founded and led the Progressive Writers' Movement in South Asia.
-
E.
Sajid Ali Sadpara
Sajid Ali Sadpara is a Pakistani high-altitude mountaineer known for his ascents of some of the world’s highest peaks and for continuing the climbing legacy of his father, the famed climber Ali Sadpara.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abca26ee08190ad740a4af66a312b |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abd15930881908778289d864e6171 |
completed | May 18, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abe4c715881908989f6ac5329c62c |
completed | May 18, 2026, 7:22 a.m. |
Created at: April 16, 2026, 8:40 p.m.