Triple
T18718393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The November Man |
E457703
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sriram Das
Sriram Das is a film producer best known for his work on the spy thriller "The November Man."
|
E1347081
|
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: Sriram Das | Statement: [The November Man, producer, Sriram Das]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sriram Das Context triple: [The November Man, producer, Sriram Das]
-
A.
Srinivas Mohan
Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
-
B.
Vikas Sivaraman
Vikas Sivaraman is an Indian cinematographer known for his work on acclaimed Hindi films, including the 1999 action drama "Sarfarosh."
-
C.
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
-
D.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
E.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
- 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: Sriram Das Triple: [The November Man, producer, Sriram Das]
Generated description
Sriram Das is a film producer best known for his work on the spy thriller "The November Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sriram Das Target entity description: Sriram Das is a film producer best known for his work on the spy thriller "The November Man."
-
A.
Srinivas Mohan
Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
-
B.
Vikas Sivaraman
Vikas Sivaraman is an Indian cinematographer known for his work on acclaimed Hindi films, including the 1999 action drama "Sarfarosh."
-
C.
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
-
D.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
E.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab8198c8190bf2c4acaeb561970 |
completed | April 19, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575a431448190b9e2323012398869 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05779c180c8190a682ffba162df80d |
completed | May 14, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a057813dd3481909f79b2a78bdec055 |
completed | May 14, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:50 a.m.