Triple
T4836248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amethi (Lok Sabha constituency) |
E108065
|
entity |
| Predicate | representedBy |
P1748
|
FINISHED |
| Object | Smriti Irani |
E473861
|
NE FINISHED |
How this triple was built (2 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 Irani | Statement: [Amethi (Lok Sabha constituency), representedBy, Smriti Irani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smriti Irani Context triple: [Amethi (Lok Sabha constituency), representedBy, Smriti Irani]
-
A.
Smriti Irani
chosen
Smriti Irani is an Indian politician, former television actress, and senior Bharatiya Janata Party leader who has served as a Union minister in the Government of India.
-
B.
Shivani Ghai
Shivani Ghai is a British actress known for her work in television, film, and theatre, including roles in series such as "EastEnders" and "Dominion."
-
C.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
D.
Meena Khadikar
Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
-
E.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce00cd48190a675fb75eae152c2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d1d3508190a63a1daccce57da7 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.