Triple
T22033538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drishyam 2 |
E544144
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Sandeep Francis
Sandeep Francis is a film editor best known for his work on the acclaimed Indian thriller "Drishyam 2."
|
E1521700
|
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: Sandeep Francis | Statement: [Drishyam 2, editedBy, Sandeep Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandeep Francis Context triple: [Drishyam 2, editedBy, Sandeep Francis]
-
A.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
B.
Sanjay Nair
Sanjay Nair is a cinematographer known for his work on the Hindi film "Dil Vil Pyar Vyar."
-
C.
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.
-
D.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
E.
Sagar Desai
Sagar Desai is an Indian film music composer known for his work on various Hindi movies and independent projects.
- 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: Sandeep Francis Triple: [Drishyam 2, editedBy, Sandeep Francis]
Generated description
Sandeep Francis is a film editor best known for his work on the acclaimed Indian thriller "Drishyam 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandeep Francis Target entity description: Sandeep Francis is a film editor best known for his work on the acclaimed Indian thriller "Drishyam 2."
-
A.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
B.
Sanjay Nair
Sanjay Nair is a cinematographer known for his work on the Hindi film "Dil Vil Pyar Vyar."
-
C.
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.
-
D.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
E.
Sagar Desai
Sagar Desai is an Indian film music composer known for his work on various Hindi movies and independent projects.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96e7ce3081908da0e3d60c3823f6 |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a977e9df08190a465d0005fccad4e |
completed | May 18, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a97f868188190a2b1286bc3751e54 |
completed | May 18, 2026, 4:39 a.m. |
Created at: April 16, 2026, 8:24 p.m.