Triple
T4516847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pravin Gordhan |
E102172
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pravin
Pravin is a common Indian given name, notably borne by South African politician and former finance minister Pravin Gordhan.
|
E449137
|
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: Pravin | Statement: [Pravin Gordhan, givenName, Pravin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pravin Context triple: [Pravin Gordhan, givenName, Pravin]
-
A.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
B.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
-
C.
Vinod
Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
-
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.
Satya Nandan
Satya Nandan was a Fijian diplomat and international lawyer renowned for his leading role in shaping the United Nations Convention on the Law of the Sea and in developing global ocean 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: Pravin Triple: [Pravin Gordhan, givenName, Pravin]
Generated description
Pravin is a common Indian given name, notably borne by South African politician and former finance minister Pravin Gordhan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pravin Target entity description: Pravin is a common Indian given name, notably borne by South African politician and former finance minister Pravin Gordhan.
-
A.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
B.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
-
C.
Vinod
Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
-
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.
Satya Nandan
Satya Nandan was a Fijian diplomat and international lawyer renowned for his leading role in shaping the United Nations Convention on the Law of the Sea and in developing global ocean 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5726983c8190bca116eeee54241c |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda42bd41c8190a9a25ccea6947089 |
completed | March 20, 2026, 7:46 p.m. |
| NEDg | Description generation | batch_69bda4b7b8bc8190a9ccded70e1b9cc2 |
completed | March 20, 2026, 7:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda51353188190a951f5d6714481e8 |
completed | March 20, 2026, 7:50 p.m. |
Created at: March 20, 2026, 1:02 p.m.