Triple
T8558277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sridevi |
E202630
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Chandni
Chandni is a popular 1989 Hindi romantic musical film starring Sridevi, celebrated for its songs, emotional storyline, and her iconic performance.
|
E743346
|
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: Chandni | Statement: [Sridevi, notableWork, Chandni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandni Context triple: [Sridevi, notableWork, Chandni]
-
A.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
B.
Kanchan
Kanchan was a prominent chutney and chutney-soca singer known for popularizing the genre internationally, especially through her collaborations with Babla.
-
C.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
-
D.
Bhadrika
Bhadrika is a disciple mentioned in Buddhist tradition as one of the listeners present when the Buddha delivered his seminal Turning of the Wheel of Dharma discourse.
-
E.
Kanchanmala
Kanchanmala is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
- 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: Chandni Triple: [Sridevi, notableWork, Chandni]
Generated description
Chandni is a popular 1989 Hindi romantic musical film starring Sridevi, celebrated for its songs, emotional storyline, and her iconic performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandni Target entity description: Chandni is a popular 1989 Hindi romantic musical film starring Sridevi, celebrated for its songs, emotional storyline, and her iconic performance.
-
A.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
B.
Kanchan
Kanchan was a prominent chutney and chutney-soca singer known for popularizing the genre internationally, especially through her collaborations with Babla.
-
C.
Manjira
Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
-
D.
Bhadrika
Bhadrika is a disciple mentioned in Buddhist tradition as one of the listeners present when the Buddha delivered his seminal Turning of the Wheel of Dharma discourse.
-
E.
Kanchanmala
Kanchanmala is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
- 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.