Triple
T20170772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishore Kumar |
E491950
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Yogeeta Bali
Yogeeta Bali is an Indian film actress known for her work in Hindi cinema during the 1970s and 1980s.
|
E1415362
|
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: Yogeeta Bali | Statement: [Kishore Kumar, spouse, Yogeeta Bali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogeeta Bali Context triple: [Kishore Kumar, spouse, Yogeeta Bali]
-
A.
Sangita Srivastava
Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
-
B.
Swati Pandit
Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
-
C.
Geeta Bali
Geeta Bali was a popular Indian film actress of the 1950s known for her vivacious screen presence and roles in Hindi cinema classics.
-
D.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
E.
Mrunmayee Lagoo
Mrunmayee Lagoo is an Indian actress and filmmaker, known as the daughter of veteran actress Reema Lagoo and for her work in Marathi and Hindi cinema.
- 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: Yogeeta Bali Triple: [Kishore Kumar, spouse, Yogeeta Bali]
Generated description
Yogeeta Bali is an Indian film actress known for her work in Hindi cinema during the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yogeeta Bali Target entity description: Yogeeta Bali is an Indian film actress known for her work in Hindi cinema during the 1970s and 1980s.
-
A.
Sangita Srivastava
Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
-
B.
Swati Pandit
Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
-
C.
Geeta Bali
Geeta Bali was a popular Indian film actress of the 1950s known for her vivacious screen presence and roles in Hindi cinema classics.
-
D.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
E.
Mrunmayee Lagoo
Mrunmayee Lagoo is an Indian actress and filmmaker, known as the daughter of veteran actress Reema Lagoo and for her work in Marathi and Hindi cinema.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083484eaa4819083462003ba5a78b0 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a083851ccf081909de87d5070e969f9 |
completed | May 16, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0838c3694c819097516c8de60864fb |
completed | May 16, 2026, 9:28 a.m. |
Created at: April 11, 2026, 11:35 p.m.