Triple
T8558366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lokesh Kanagaraj |
E202632
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Maanagaram
Maanagaram is a Tamil-language urban thriller film known for its hyperlink narrative and gritty portrayal of city life, directed by Lokesh Kanagaraj.
|
E746020
|
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: Maanagaram | Statement: [Lokesh Kanagaraj, notableWork, Maanagaram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maanagaram Context triple: [Lokesh Kanagaraj, notableWork, Maanagaram]
-
A.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
-
B.
Battaramulla
Battaramulla is a rapidly developing suburb of Colombo in Sri Lanka, known for housing numerous government offices and administrative institutions.
-
C.
Gunamala
Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
- 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: Maanagaram Triple: [Lokesh Kanagaraj, notableWork, Maanagaram]
Generated description
Maanagaram is a Tamil-language urban thriller film known for its hyperlink narrative and gritty portrayal of city life, directed by Lokesh Kanagaraj.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maanagaram Target entity description: Maanagaram is a Tamil-language urban thriller film known for its hyperlink narrative and gritty portrayal of city life, directed by Lokesh Kanagaraj.
-
A.
Nandigrama
Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
-
B.
Battaramulla
Battaramulla is a rapidly developing suburb of Colombo in Sri Lanka, known for housing numerous government offices and administrative institutions.
-
C.
Gunamala
Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
-
D.
Palamoor
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
E.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea871dd3081908e24c4d1c60a8381 |
completed | April 2, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69cea996a5c48190a12ffe8e282d2d9c |
completed | April 2, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceadb2d52c8190aada1d797753663e |
completed | April 2, 2026, 5:56 p.m. |
Created at: March 30, 2026, 6:20 p.m.