Triple
T21944593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karwaan |
E541902
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Ajay Sharma
Ajay Sharma is a film editor known for his work on the Hindi road-trip drama "Karwaan."
|
E1522571
|
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: Ajay Sharma | Statement: [Karwaan, editedBy, Ajay Sharma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajay Sharma Context triple: [Karwaan, editedBy, Ajay Sharma]
-
A.
Ajay Panchal
Ajay Panchal is an automotive designer best known for his work on the styling of the Nissan 350Z sports car.
-
B.
Ajay Agrawal
Ajay Agrawal is a Canadian economist and professor at the University of Toronto, best known for his work on the economics of artificial intelligence and entrepreneurship.
-
C.
Ajay Singh
Ajay Singh is an Indian entrepreneur and airline executive best known as the co-founder and driving force behind the low-cost carrier SpiceJet.
-
D.
Ajay Naidu
Ajay Naidu is an American actor best known for his roles in independent films and the cult comedy "Office Space."
-
E.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
- 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: Ajay Sharma Triple: [Karwaan, editedBy, Ajay Sharma]
Generated description
Ajay Sharma is a film editor known for his work on the Hindi road-trip drama "Karwaan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ajay Sharma Target entity description: Ajay Sharma is a film editor known for his work on the Hindi road-trip drama "Karwaan."
-
A.
Ajay Panchal
Ajay Panchal is an automotive designer best known for his work on the styling of the Nissan 350Z sports car.
-
B.
Ajay Agrawal
Ajay Agrawal is a Canadian economist and professor at the University of Toronto, best known for his work on the economics of artificial intelligence and entrepreneurship.
-
C.
Ajay Singh
Ajay Singh is an Indian entrepreneur and airline executive best known as the co-founder and driving force behind the low-cost carrier SpiceJet.
-
D.
Ajay Naidu
Ajay Naidu is an American actor best known for his roles in independent films and the cult comedy "Office Space."
-
E.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9eaa53cc8190bfc006245a63f9e5 |
completed | May 18, 2026, 5:07 a.m. |
| NEDg | Description generation | batch_6a0aa0066d0481909872d8e1dbbe2fcf |
completed | May 18, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa07acd5c8190bc73cc1d8897fa01 |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 7:56 p.m.