Triple
T22663336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. D. Burman |
E559718
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rita Patel
Rita Patel is best known as the wife of legendary Indian film music composer R. D. Burman.
|
E1564698
|
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: Rita Patel | Statement: [R. D. Burman, spouse, Rita Patel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rita Patel Context triple: [R. D. Burman, spouse, Rita Patel]
-
A.
Seema Patel
Seema Patel is a confident, successful real estate broker and one of Carrie Bradshaw’s new friends introduced in the Sex and the City sequel series "And Just Like That..."
-
B.
Gita Patel
Gita Patel is the mother of Pi Patel, the protagonist of Yann Martel’s novel "Life of Pi," and is portrayed as a compassionate and grounding influence in his life.
-
C.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
-
D.
Shernaz Patel
Shernaz Patel is an Indian film and theatre actress known for her nuanced supporting roles in critically acclaimed Hindi movies and her extensive work on stage.
-
E.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
- 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: Rita Patel Triple: [R. D. Burman, spouse, Rita Patel]
Generated description
Rita Patel is best known as the wife of legendary Indian film music composer R. D. Burman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rita Patel Target entity description: Rita Patel is best known as the wife of legendary Indian film music composer R. D. Burman.
-
A.
Seema Patel
Seema Patel is a confident, successful real estate broker and one of Carrie Bradshaw’s new friends introduced in the Sex and the City sequel series "And Just Like That..."
-
B.
Gita Patel
Gita Patel is the mother of Pi Patel, the protagonist of Yann Martel’s novel "Life of Pi," and is portrayed as a compassionate and grounding influence in his life.
-
C.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
-
D.
Shernaz Patel
Shernaz Patel is an Indian film and theatre actress known for her nuanced supporting roles in critically acclaimed Hindi movies and her extensive work on stage.
-
E.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3597ba88190adb9fcc6f4cf65f3 |
completed | May 19, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_6a0bd946ceec8190ab8de32b7e7a77e1 |
completed | May 19, 2026, 3:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd9c0cddc819087d0fdd087883d13 |
completed | May 19, 2026, 3:32 a.m. |
Created at: April 17, 2026, 3:08 p.m.