Triple
T1802748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil cinema |
E39755
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object |
Vikram
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
|
E202439
|
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: Vikram | Statement: [Tamil cinema, hasNotableActor, Vikram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikram Context triple: [Tamil cinema, hasNotableActor, Vikram]
-
A.
Ramachandra
Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
-
B.
Raman
Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
-
C.
Shatrughna
Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
-
D.
Rama
Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
-
E.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
- 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: Vikram Triple: [Tamil cinema, hasNotableActor, Vikram]
Generated description
Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vikram Target entity description: Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil-language films.
-
A.
Ramachandra
Ramachandra, better known as Tatya Tope, was a prominent Indian general and key leader of the 1857 Indian Rebellion against British rule.
-
B.
Raman
Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
-
C.
Shatrughna
Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
-
D.
Rama
Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
-
E.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa659535448190b60cb4b0ad2972b6 |
completed | March 6, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5db1c7c81908c25e62dca1cb825 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b6d160819096dc02323049101d |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9bafd688190a66a835c6a8163e3 |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 4, 2026, 7:32 p.m.