Triple
T2854451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song to Song |
E63166
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Rehman Nizar Ali
Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
|
E305282
|
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: Rehman Nizar Ali | Statement: [Song to Song, editedBy, Rehman Nizar Ali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rehman Nizar Ali Context triple: [Song to Song, editedBy, Rehman Nizar Ali]
-
A.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
B.
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.
-
C.
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
D.
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.
-
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: Rehman Nizar Ali Triple: [Song to Song, editedBy, Rehman Nizar Ali]
Generated description
Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rehman Nizar Ali Target entity description: Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
-
A.
Mazhar Munir
Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
-
B.
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.
-
C.
Hafeez Jalandhari
Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
-
D.
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.
-
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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf60852c8190b66c8719c63a723e |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d8774cc8190aa6ed40b26c4a568 |
completed | March 10, 2026, 1:32 p.m. |
| NEDg | Description generation | batch_69b01ea4e3a481909241383e2c4093d8 |
completed | March 10, 2026, 1:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b01f1a9ac48190b8d2b5247cb2c3d8 |
completed | March 10, 2026, 1:39 p.m. |
Created at: March 6, 2026, 10:02 p.m.