Triple
T22292322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sairat |
E551027
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Akash Thosar
Akash Thosar is an Indian actor best known for his breakout role in the critically acclaimed Marathi film "Sairat."
|
E1528866
|
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: Akash Thosar | Statement: [Sairat, leadActor, Akash Thosar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akash Thosar Context triple: [Sairat, leadActor, Akash Thosar]
-
A.
Aashish Chaudhary
Aashish Chaudhary is an Indian actor and former model known for his work in Bollywood films and Hindi television.
-
B.
Ashutosh Rana
Ashutosh Rana is an acclaimed Indian film and television actor known for his intense character roles and powerful villainous performances in Hindi and regional cinema.
-
C.
Nikhil Joshi
Nikhil Joshi is a co-founder of the Hindu American Foundation, a U.S.-based advocacy organization focused on Hindu human rights and religious freedom.
-
D.
Matthew Kumar
Matthew Kumar is a British-Indian lawyer known publicly as the fiancé of Princess Theodora of Greece and Denmark.
-
E.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
- 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: Akash Thosar Triple: [Sairat, leadActor, Akash Thosar]
Generated description
Akash Thosar is an Indian actor best known for his breakout role in the critically acclaimed Marathi film "Sairat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akash Thosar Target entity description: Akash Thosar is an Indian actor best known for his breakout role in the critically acclaimed Marathi film "Sairat."
-
A.
Aashish Chaudhary
Aashish Chaudhary is an Indian actor and former model known for his work in Bollywood films and Hindi television.
-
B.
Ashutosh Rana
Ashutosh Rana is an acclaimed Indian film and television actor known for his intense character roles and powerful villainous performances in Hindi and regional cinema.
-
C.
Nikhil Joshi
Nikhil Joshi is a co-founder of the Hindu American Foundation, a U.S.-based advocacy organization focused on Hindu human rights and religious freedom.
-
D.
Matthew Kumar
Matthew Kumar is a British-Indian lawyer known publicly as the fiancé of Princess Theodora of Greece and Denmark.
-
E.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcb1db708190867a631a29583908 |
completed | May 18, 2026, 7:16 a.m. |
| NEDg | Description generation | batch_6a0abdfae68c81909445ae82412f35c4 |
completed | May 18, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf0bf9f88190baa7f6d55a8d9095 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:41 p.m.