Triple
T15028433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arvind Nandlal Kilachand |
E378275
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Arvind
Arvind is the given name of Arvind Nandlal Kilachand, an Indian businessman and philanthropist.
|
E1133936
|
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: Arvind | Statement: [Arvind Nandlal Kilachand, hasGivenName, Arvind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arvind Context triple: [Arvind Nandlal Kilachand, hasGivenName, Arvind]
-
A.
Sunil
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
B.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
C.
Rakesh
Rakesh is the birth name of Rick Parashar, the American record producer known for his work with bands like Pearl Jam and Temple of the Dog.
-
D.
Prahlad
Prahlad is a recurring character in Satyajit Ray’s Bengali science fiction "Professor Shonku" stories, typically appearing as part of the eccentric scientist’s circle of associates.
-
E.
Arvind Swamy
Arvind Swamy is an Indian actor best known for his acclaimed performances in 1990s Tamil cinema, particularly in films directed by Mani Ratnam such as Bombay and Thalapathi.
- 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: Arvind Triple: [Arvind Nandlal Kilachand, hasGivenName, Arvind]
Generated description
Arvind is the given name of Arvind Nandlal Kilachand, an Indian businessman and philanthropist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arvind Target entity description: Arvind is the given name of Arvind Nandlal Kilachand, an Indian businessman and philanthropist.
-
A.
Sunil
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
B.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
C.
Rakesh
Rakesh is the birth name of Rick Parashar, the American record producer known for his work with bands like Pearl Jam and Temple of the Dog.
-
D.
Prahlad
Prahlad is a recurring character in Satyajit Ray’s Bengali science fiction "Professor Shonku" stories, typically appearing as part of the eccentric scientist’s circle of associates.
-
E.
Arvind Swamy
Arvind Swamy is an Indian actor best known for his acclaimed performances in 1990s Tamil cinema, particularly in films directed by Mani Ratnam such as Bombay and Thalapathi.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:58 a.m.