Triple
T12295113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roshan Seth |
E293063
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Roshan
Roshan is the given name of Roshan Seth, an Indian-born British actor known for his roles in films such as "Gandhi" and "Indiana Jones and the Temple of Doom."
|
E975308
|
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: Roshan | Statement: [Roshan Seth, givenName, Roshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roshan Context triple: [Roshan Seth, givenName, Roshan]
-
A.
Roshn
Roshn is a Saudi Arabian real estate developer backed by the Public Investment Fund, known for building large-scale residential communities across the kingdom.
-
B.
Rohana
Rohana is a historical region in southern Sri Lanka that formed the core territory of the ancient Kingdom of Ruhuna.
-
C.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
D.
Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
-
E.
Udayan
Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
- 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: Roshan Triple: [Roshan Seth, givenName, Roshan]
Generated description
Roshan is the given name of Roshan Seth, an Indian-born British actor known for his roles in films such as "Gandhi" and "Indiana Jones and the Temple of Doom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roshan Target entity description: Roshan is the given name of Roshan Seth, an Indian-born British actor known for his roles in films such as "Gandhi" and "Indiana Jones and the Temple of Doom."
-
A.
Roshn
Roshn is a Saudi Arabian real estate developer backed by the Public Investment Fund, known for building large-scale residential communities across the kingdom.
-
B.
Rohana
Rohana is a historical region in southern Sri Lanka that formed the core territory of the ancient Kingdom of Ruhuna.
-
C.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
D.
Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
-
E.
Udayan
Udayan is a central figure in Jhumpa Lahiri’s novel "The Lowland," whose radical political involvement and complex family relationships drive much of the story’s emotional and moral conflict.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93ed7251c8190b94d7cd75ad49b9c |
completed | April 10, 2026, 6:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e79bf548190bf7f314222ed1ed1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f62260d6708190808e52935a27e2c1 |
completed | May 2, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6230f4c8081908a759efa43b4800b |
completed | May 2, 2026, 4:15 p.m. |
Created at: April 8, 2026, 9:52 p.m.