Triple
T16929902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jagjivan Ram |
E410676
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Meira Kumar
Meira Kumar is an Indian politician and former diplomat who served as the first woman Speaker of the Lok Sabha.
|
E1241435
|
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: Meira Kumar | Statement: [Jagjivan Ram, child, Meira Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meira Kumar Context triple: [Jagjivan Ram, child, Meira Kumar]
-
A.
Sangeeta Jaitley
Sangeeta Jaitley is the wife of the late Indian politician and former Finance Minister Arun Jaitley.
-
B.
Kamla Advani
Kamla Advani was the wife of Indian politician L. K. Advani and was known for maintaining a low public profile while supporting his long political career.
-
C.
Supriya Jolly Jindal
Supriya Jolly Jindal is an American philanthropist and former First Lady of Louisiana, known for her work in education and children's initiatives.
-
D.
Jagdambika Pal
Jagdambika Pal is an Indian politician from Uttar Pradesh who has served as a Member of Parliament and briefly as Chief Minister of the state.
-
E.
Pratibha Patil
Pratibha Patil is an Indian politician who served as the 12th President of India and was the first woman to hold the office.
- 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: Meira Kumar Triple: [Jagjivan Ram, child, Meira Kumar]
Generated description
Meira Kumar is an Indian politician and former diplomat who served as the first woman Speaker of the Lok Sabha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meira Kumar Target entity description: Meira Kumar is an Indian politician and former diplomat who served as the first woman Speaker of the Lok Sabha.
-
A.
Sangeeta Jaitley
Sangeeta Jaitley is the wife of the late Indian politician and former Finance Minister Arun Jaitley.
-
B.
Kamla Advani
Kamla Advani was the wife of Indian politician L. K. Advani and was known for maintaining a low public profile while supporting his long political career.
-
C.
Supriya Jolly Jindal
Supriya Jolly Jindal is an American philanthropist and former First Lady of Louisiana, known for her work in education and children's initiatives.
-
D.
Jagdambika Pal
Jagdambika Pal is an Indian politician from Uttar Pradesh who has served as a Member of Parliament and briefly as Chief Minister of the state.
-
E.
Pratibha Patil
Pratibha Patil is an Indian politician who served as the 12th President of India and was the first woman to hold the office.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf248c6c81908fbf4d49e5381f08 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdeb7a88190aac21a8645607dc8 |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14b83d88190b3dbc124d5b33029 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.