Triple
T22433295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parched |
E554549
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Surveen Chawla
Surveen Chawla is an Indian actress known for her work in Hindi films and television, including prominent roles in bold, women-centric dramas.
|
E1536436
|
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: Surveen Chawla | Statement: [Parched, leadActor, Surveen Chawla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surveen Chawla Context triple: [Parched, leadActor, Surveen Chawla]
-
A.
Kali Banerjee
Kali Banerjee was a noted Indian film actor, best remembered for his character roles in Bengali cinema during the mid-20th century.
-
B.
Tarika Bansal
Tarika Bansal is the ambitious daughter of the protagonist in the Hindi film "Angrezi Medium," whose dream of studying abroad drives the emotional core of the story.
-
C.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
-
D.
Maya Banerjee
Maya Banerjee is known as the wife of Indian actor Victor Banerjee.
-
E.
Suchitra Krishnamoorthi
Suchitra Krishnamoorthi is an Indian actress, singer, and writer known for her work in Hindi cinema and television, including her notable role in the film "Kabhi Haan Kabhi Naa."
- 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: Surveen Chawla Triple: [Parched, leadActor, Surveen Chawla]
Generated description
Surveen Chawla is an Indian actress known for her work in Hindi films and television, including prominent roles in bold, women-centric dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Surveen Chawla Target entity description: Surveen Chawla is an Indian actress known for her work in Hindi films and television, including prominent roles in bold, women-centric dramas.
-
A.
Kali Banerjee
Kali Banerjee was a noted Indian film actor, best remembered for his character roles in Bengali cinema during the mid-20th century.
-
B.
Tarika Bansal
Tarika Bansal is the ambitious daughter of the protagonist in the Hindi film "Angrezi Medium," whose dream of studying abroad drives the emotional core of the story.
-
C.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
-
D.
Maya Banerjee
Maya Banerjee is known as the wife of Indian actor Victor Banerjee.
-
E.
Suchitra Krishnamoorthi
Suchitra Krishnamoorthi is an Indian actress, singer, and writer known for her work in Hindi cinema and television, including her notable role in the film "Kabhi Haan Kabhi Naa."
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f90f5881908f0011690cb0f1e4 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af268db2881908706641ad1e41f79 |
completed | May 18, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:47 p.m.