Triple
T20351883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Moon Sen |
E496031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sirivennela
Sirivennela is a 1986 Telugu romantic drama film acclaimed for its music and performances, featuring Moon Moon Sen in a prominent role.
|
E1425093
|
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: Sirivennela | Statement: [Moon Moon Sen, notableWork, Sirivennela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirivennela Context triple: [Moon Moon Sen, notableWork, Sirivennela]
-
A.
Srinivas
Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
-
B.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
C.
Satyavedu
Satyavedu is a town in the Tirupati district of Andhra Pradesh, India, known for its agricultural surroundings and proximity to the Tamil Nadu border.
-
D.
Janardhan
Janardhan is an Indian given name commonly used for males, often associated with Hindu cultural and religious traditions.
-
E.
Vishnu Vardhan Induri
Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
- 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: Sirivennela Triple: [Moon Moon Sen, notableWork, Sirivennela]
Generated description
Sirivennela is a 1986 Telugu romantic drama film acclaimed for its music and performances, featuring Moon Moon Sen in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sirivennela Target entity description: Sirivennela is a 1986 Telugu romantic drama film acclaimed for its music and performances, featuring Moon Moon Sen in a prominent role.
-
A.
Srinivas
Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
-
B.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
C.
Satyavedu
Satyavedu is a town in the Tirupati district of Andhra Pradesh, India, known for its agricultural surroundings and proximity to the Tamil Nadu border.
-
D.
Janardhan
Janardhan is an Indian given name commonly used for males, often associated with Hindu cultural and religious traditions.
-
E.
Vishnu Vardhan Induri
Vishnu Vardhan Induri is an Indian film producer and entrepreneur best known for creating and organizing major South Indian cinema award platforms and events.
- 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.