Triple
T6683868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Makeba |
E152051
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sonny Pillay
Sonny Pillay is a South African musician best known for his brief marriage to legendary singer and activist Miriam Makeba.
|
E612075
|
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: Sonny Pillay | Statement: [Miriam Makeba, spouse, Sonny Pillay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonny Pillay Context triple: [Miriam Makeba, spouse, Sonny Pillay]
-
A.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
B.
Yogesh Chandrahasan
Yogesh Chandrahasan is an Indian architect best known for designing the National War Memorial in New Delhi.
-
C.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
D.
Ravi Basrur
Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
-
E.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
- 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: Sonny Pillay Triple: [Miriam Makeba, spouse, Sonny Pillay]
Generated description
Sonny Pillay is a South African musician best known for his brief marriage to legendary singer and activist Miriam Makeba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonny Pillay Target entity description: Sonny Pillay is a South African musician best known for his brief marriage to legendary singer and activist Miriam Makeba.
-
A.
Dileep Rao
Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
-
B.
Yogesh Chandrahasan
Yogesh Chandrahasan is an Indian architect best known for designing the National War Memorial in New Delhi.
-
C.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
D.
Ravi Basrur
Ravi Basrur is an Indian film music composer and sound designer best known for his work on high-profile Kannada films such as the K.G.F series.
-
E.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b122df14819082068af37611b691 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ae8f388190a3c78c89b7293804 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f9f7b4b08190b5c4dab67758af67 |
completed | March 27, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fac7c0e881909b4c2058beebda9f |
completed | March 27, 2026, 9:46 p.m. |
Created at: March 27, 2026, 2:04 p.m.