Triple
T8558278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sridevi |
E202630
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
ChaalBaaz
ChaalBaaz is a popular 1989 Hindi comedy film best known for Sridevi’s iconic double role as twin sisters with contrasting personalities.
|
E743347
|
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: ChaalBaaz | Statement: [Sridevi, notableWork, ChaalBaaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ChaalBaaz Context triple: [Sridevi, notableWork, ChaalBaaz]
-
A.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
B.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
C.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
-
D.
Chholiya
Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
-
E.
Phillauri
Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
- 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: ChaalBaaz Triple: [Sridevi, notableWork, ChaalBaaz]
Generated description
ChaalBaaz is a popular 1989 Hindi comedy film best known for Sridevi’s iconic double role as twin sisters with contrasting personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ChaalBaaz Target entity description: ChaalBaaz is a popular 1989 Hindi comedy film best known for Sridevi’s iconic double role as twin sisters with contrasting personalities.
-
A.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
B.
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
C.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
-
D.
Chholiya
Chholiya is a traditional folk dance of the Kumaon region of Uttarakhand, India, often performed at weddings and festivals and characterized by its sword-and-shield martial style.
-
E.
Phillauri
Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89455dcc819088bdf5a2f653da17 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.