Triple
T21945133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijaypath |
E541913
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Bhavani Choudhry
Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
|
E1531524
|
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: Bhavani Choudhry | Statement: [Vijaypath, featuresCharacter, Bhavani Choudhry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhavani Choudhry Context triple: [Vijaypath, featuresCharacter, Bhavani Choudhry]
-
A.
Deepa Bhatia
Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
-
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.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
D.
Kanchan Desai
Kanchan Desai is the daughter of legendary Indian film actor Shammi Kapoor.
-
E.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
- 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: Bhavani Choudhry Triple: [Vijaypath, featuresCharacter, Bhavani Choudhry]
Generated description
Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bhavani Choudhry Target entity description: Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
-
A.
Deepa Bhatia
Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
-
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.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
D.
Kanchan Desai
Kanchan Desai is the daughter of legendary Indian film actor Shammi Kapoor.
-
E.
Beena Patel
Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad502fdf4819083f7a3cabb38ac64 |
completed | May 18, 2026, 8:59 a.m. |
| NEDg | Description generation | batch_6a0ad991a1e48190ad240a20694223fc |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada2a61b881908a636b2d1d6e4509 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 7:56 p.m.