Triple
T19358321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Meets East |
E484207
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Prabhati
Prabhati is a musical piece featured in the fusion album "West Meets East," blending Indian classical elements with Western classical performance.
|
E1387022
|
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: Prabhati | Statement: [West Meets East, hasPart, Prabhati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabhati Context triple: [West Meets East, hasPart, Prabhati]
-
A.
Pratibha
Pratibha is an Indian feminine given name most prominently associated with Pratibha Patil, the first woman to serve as President of India.
-
B.
Priti
Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
-
C.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
D.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
E.
Aparna
Aparna is a central character in Jhumpa Lahiri’s short story “Hell-Heaven,” embodying themes of cultural displacement, unrequited love, and the complexities of the Indian immigrant experience in America.
- 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: Prabhati Triple: [West Meets East, hasPart, Prabhati]
Generated description
Prabhati is a musical piece featured in the fusion album "West Meets East," blending Indian classical elements with Western classical performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prabhati Target entity description: Prabhati is a musical piece featured in the fusion album "West Meets East," blending Indian classical elements with Western classical performance.
-
A.
Pratibha
Pratibha is an Indian feminine given name most prominently associated with Pratibha Patil, the first woman to serve as President of India.
-
B.
Priti
Priti is the given name of British politician Priti Patel, who served as the United Kingdom’s Home Secretary.
-
C.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
D.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
E.
Aparna
Aparna is a central character in Jhumpa Lahiri’s short story “Hell-Heaven,” embodying themes of cultural displacement, unrequited love, and the complexities of the Indian immigrant experience in America.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190a1ec88190ba6d2d45174dc85a |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07719a9afc81908d69dbdbdd90fb1e |
completed | May 15, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_6a0777edb52c8190b17ca42cc690cdcd |
completed | May 15, 2026, 7:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0778acf3888190a292aa6775171c90 |
completed | May 15, 2026, 7:49 p.m. |
Created at: April 10, 2026, 1:34 p.m.