Triple
T4516848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pravin Gordhan |
E102172
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gordhan
Gordhan is the surname of Pravin Gordhan, a prominent South African politician and former finance minister.
|
E449058
|
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: Gordhan | Statement: [Pravin Gordhan, familyName, Gordhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordhan Context triple: [Pravin Gordhan, familyName, Gordhan]
-
A.
Yadnya Kasada
Yadnya Kasada is a traditional Tenggerese Hindu ritual in which offerings are cast into the crater of Mount Bromo in East Java, Indonesia, to honor ancestral spirits and deities.
-
B.
Mahendra
Mahendra is a central fictional character in Rabindranath Tagore’s Bengali novel "Chokher Bali," whose complex relationships drive much of the story’s emotional conflict.
-
C.
Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
-
D.
Sundar Popo
Sundar Popo was a pioneering Trinidadian singer widely credited with popularizing chutney music by blending Indian folk traditions with Caribbean musical styles.
-
E.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
- 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: Gordhan Triple: [Pravin Gordhan, familyName, Gordhan]
Generated description
Gordhan is the surname of Pravin Gordhan, a prominent South African politician and former finance minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gordhan Target entity description: Gordhan is the surname of Pravin Gordhan, a prominent South African politician and former finance minister.
-
A.
Yadnya Kasada
Yadnya Kasada is a traditional Tenggerese Hindu ritual in which offerings are cast into the crater of Mount Bromo in East Java, Indonesia, to honor ancestral spirits and deities.
-
B.
Mahendra
Mahendra is a central fictional character in Rabindranath Tagore’s Bengali novel "Chokher Bali," whose complex relationships drive much of the story’s emotional conflict.
-
C.
Gulani
Gulani is a local government area in northeastern Nigeria known for its rural communities within Yobe State.
-
D.
Sundar Popo
Sundar Popo was a pioneering Trinidadian singer widely credited with popularizing chutney music by blending Indian folk traditions with Caribbean musical styles.
-
E.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
- 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_69bd7f93a6808190bc1290232998184c |
completed | March 20, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_69bd9df55108819095f727f112cb41cf |
completed | March 20, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd9eab6c60819088407768561d3715 |
completed | March 20, 2026, 7:23 p.m. |
Created at: March 20, 2026, 1:02 p.m.