Triple
T20351869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Moon Sen |
E496031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dev Varma
Dev Varma is the family name of Indian actress and politician Moon Moon Sen, belonging to a prominent Bengali film and cultural lineage.
|
E1425090
|
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: Dev Varma | Statement: [Moon Moon Sen, familyName, Dev Varma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dev Varma Context triple: [Moon Moon Sen, familyName, Dev Varma]
-
A.
Dev Sen
Dev Sen is the family name of Nabaneeta Dev Sen, a prominent Indian poet, writer, and academic.
-
B.
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.
-
C.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
D.
Rajiv Menon
Rajiv Menon is an Indian cinematographer and film director known for his acclaimed work in Tamil cinema and collaborations with prominent filmmakers and composers.
-
E.
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."
- 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: Dev Varma Triple: [Moon Moon Sen, familyName, Dev Varma]
Generated description
Dev Varma is the family name of Indian actress and politician Moon Moon Sen, belonging to a prominent Bengali film and cultural lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dev Varma Target entity description: Dev Varma is the family name of Indian actress and politician Moon Moon Sen, belonging to a prominent Bengali film and cultural lineage.
-
A.
Dev Sen
Dev Sen is the family name of Nabaneeta Dev Sen, a prominent Indian poet, writer, and academic.
-
B.
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.
-
C.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
D.
Rajiv Menon
Rajiv Menon is an Indian cinematographer and film director known for his acclaimed work in Tamil cinema and collaborations with prominent filmmakers and composers.
-
E.
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."
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.