Triple
T19731386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smriti Irani |
E473861
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Smriti Malhotra
Smriti Malhotra is an Indian politician, former television actress, and current Union Minister better known by her married name, Smriti Irani.
|
E1396596
|
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: Smriti Malhotra | Statement: [Smriti Irani, birthName, Smriti Malhotra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smriti Malhotra Context triple: [Smriti Irani, birthName, Smriti Malhotra]
-
A.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
B.
Vidya Balan
Vidya Balan is an acclaimed Indian actress known for her powerful performances in Hindi cinema and for pioneering strong, female-led films in Bollywood.
-
C.
Neha Kapur
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
-
D.
Dina Pathak
Dina Pathak was a renowned Indian actress and theatre activist known for her powerful character roles in Hindi and Gujarati cinema and stage.
-
E.
Ratna Pathak Shah
Ratna Pathak Shah is an acclaimed Indian actress and theatre artist known for her versatile performances in film, television, and stage, including her iconic role in the TV series "Sarabhai vs Sarabhai."
- 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: Smriti Malhotra Triple: [Smriti Irani, birthName, Smriti Malhotra]
Generated description
Smriti Malhotra is an Indian politician, former television actress, and current Union Minister better known by her married name, Smriti Irani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smriti Malhotra Target entity description: Smriti Malhotra is an Indian politician, former television actress, and current Union Minister better known by her married name, Smriti Irani.
-
A.
Juhi Chawla
Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
-
B.
Vidya Balan
Vidya Balan is an acclaimed Indian actress known for her powerful performances in Hindi cinema and for pioneering strong, female-led films in Bollywood.
-
C.
Neha Kapur
Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
-
D.
Dina Pathak
Dina Pathak was a renowned Indian actress and theatre activist known for her powerful character roles in Hindi and Gujarati cinema and stage.
-
E.
Ratna Pathak Shah
Ratna Pathak Shah is an acclaimed Indian actress and theatre artist known for her versatile performances in film, television, and stage, including her iconic role in the TV series "Sarabhai vs Sarabhai."
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccbc3974819098d8912d8dc1ce9d |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce38b6508190aa43a893b01c4d80 |
completed | May 16, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ceea12e881908a88a34c40047ecc |
completed | May 16, 2026, 1:56 a.m. |
Created at: April 10, 2026, 1:47 p.m.