Triple
T19273294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankur |
E481982
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Priya Tendulkar
Priya Tendulkar was an Indian actress and social activist best known for her powerful roles in television and theatre, particularly in socially relevant and women-centric narratives.
|
E1367587
|
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: Priya Tendulkar | Statement: [Ankur, stars, Priya Tendulkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priya Tendulkar Context triple: [Ankur, stars, Priya Tendulkar]
-
A.
Anjali Tendulkar
Anjali Tendulkar is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
B.
Sara Tendulkar
Sara Tendulkar is an Indian public figure and social media personality best known as the daughter of legendary cricketer Sachin Tendulkar.
-
C.
Rajni Tendulkar
Rajni Tendulkar is the mother of Indian cricket legend Sachin Tendulkar and grandmother of Sara Tendulkar.
-
D.
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.
-
E.
Sonali Kulkarni
Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
- 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: Priya Tendulkar Triple: [Ankur, stars, Priya Tendulkar]
Generated description
Priya Tendulkar was an Indian actress and social activist best known for her powerful roles in television and theatre, particularly in socially relevant and women-centric narratives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Priya Tendulkar Target entity description: Priya Tendulkar was an Indian actress and social activist best known for her powerful roles in television and theatre, particularly in socially relevant and women-centric narratives.
-
A.
Anjali Tendulkar
Anjali Tendulkar is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
B.
Sara Tendulkar
Sara Tendulkar is an Indian public figure and social media personality best known as the daughter of legendary cricketer Sachin Tendulkar.
-
C.
Rajni Tendulkar
Rajni Tendulkar is the mother of Indian cricket legend Sachin Tendulkar and grandmother of Sara Tendulkar.
-
D.
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.
-
E.
Sonali Kulkarni
Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e748ba48190bc2a17906f7ad842 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ef513888190b8c9f8c2de36f234 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fe766d081909453b1f8563817e8 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:29 p.m.