Triple
T15447369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naren Patel |
E370058
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Naren
Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
|
E1157132
|
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: Naren | Statement: [Naren Patel, hasGivenName, Naren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naren Context triple: [Naren Patel, hasGivenName, Naren]
-
A.
Nandan
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
-
B.
Arun
Arun is a masculine given name commonly used in South Asian cultures, often associated with the sun or dawn.
-
C.
Arun
Arun is a local government district and borough in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
-
D.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
E.
Chandrakant
Chandrakant is an Indian given name commonly used for men, derived from Sanskrit and often associated with the moon or “beloved of the moon.”
- 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: Naren Triple: [Naren Patel, hasGivenName, Naren]
Generated description
Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naren Target entity description: Naren is a person whose given name is commonly used in South Asian communities, often as a shortened form of names like Narendra.
-
A.
Nandan
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
-
B.
Arun
Arun is a local government district and borough in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
-
C.
Arun
Arun is a masculine given name commonly used in South Asian cultures, often associated with the sun or dawn.
-
D.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
E.
Chandrakant
Chandrakant is an Indian given name commonly used for men, derived from Sanskrit and often associated with the moon or “beloved of the moon.”
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21afb6f4819094162ca842b7eb60 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22a9429081909724f248da07e24a |
completed | May 9, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:21 a.m.