Triple
T22967016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KL Rahul |
E571072
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
K. N. Lokesh
K. N. Lokesh is an Indian former cricketer and coach best known as the father of international cricketer KL Rahul.
|
E1563690
|
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: K. N. Lokesh | Statement: [KL Rahul, father, K. N. Lokesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K. N. Lokesh Context triple: [KL Rahul, father, K. N. Lokesh]
-
A.
K. Rajesh
K. Rajesh is a researcher known for significant scholarly work on the undeciphered Indus script and the ancient Indus Valley Civilization.
-
B.
K. Dinesh
K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
-
C.
K. Balaji
K. Balaji was an Indian film producer and actor known for his work in Tamil cinema and for producing several successful remakes of Hindi films.
-
D.
Veeru Krishnan
Veeru Krishnan was an Indian actor and classical dance teacher best known for his comic and character roles in Hindi films during the 1990s.
-
E.
K. S. Ravikumar
K. S. Ravikumar is a prominent Indian film director and screenwriter best known for his commercially successful and influential Tamil-language movies.
- 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: K. N. Lokesh Triple: [KL Rahul, father, K. N. Lokesh]
Generated description
K. N. Lokesh is an Indian former cricketer and coach best known as the father of international cricketer KL Rahul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: K. N. Lokesh Target entity description: K. N. Lokesh is an Indian former cricketer and coach best known as the father of international cricketer KL Rahul.
-
A.
K. Rajesh
K. Rajesh is a researcher known for significant scholarly work on the undeciphered Indus script and the ancient Indus Valley Civilization.
-
B.
K. Dinesh
K. Dinesh is an Indian entrepreneur and co-founder of the global IT services and consulting company Infosys.
-
C.
K. Balaji
K. Balaji was an Indian film producer and actor known for his work in Tamil cinema and for producing several successful remakes of Hindi films.
-
D.
Veeru Krishnan
Veeru Krishnan was an Indian actor and classical dance teacher best known for his comic and character roles in Hindi films during the 1990s.
-
E.
K. S. Ravikumar
K. S. Ravikumar is a prominent Indian film director and screenwriter best known for his commercially successful and influential Tamil-language movies.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1822f57088190addc6857063b4cca |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca24aab881908c77bac6ee658418 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcb59767881908ada8c0e3907875d |
completed | May 19, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbec354081909dbeeb389e86d38c |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.