Triple
T7122235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahanagar |
E165974
|
entity |
| Predicate | characterFocus |
P31
|
FINISHED |
| Object |
Arati
Arati is the central female protagonist of Satyajit Ray’s film "Mahanagar," depicted as a middle-class housewife who steps into the workforce and gradually asserts her independence in 1960s Calcutta.
|
E643187
|
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: Arati | Statement: [Mahanagar, characterFocus, Arati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arati Context triple: [Mahanagar, characterFocus, Arati]
-
A.
Shipra
Shipra is a sacred river in the Indian state of Madhya Pradesh, especially revered in Ujjain as a major Hindu pilgrimage site.
-
B.
Aditi
Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
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.
-
E.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
- 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: Arati Triple: [Mahanagar, characterFocus, Arati]
Generated description
Arati is the central female protagonist of Satyajit Ray’s film "Mahanagar," depicted as a middle-class housewife who steps into the workforce and gradually asserts her independence in 1960s Calcutta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arati Target entity description: Arati is the central female protagonist of Satyajit Ray’s film "Mahanagar," depicted as a middle-class housewife who steps into the workforce and gradually asserts her independence in 1960s Calcutta.
-
A.
Shipra
Shipra is a sacred river in the Indian state of Madhya Pradesh, especially revered in Ujjain as a major Hindu pilgrimage site.
-
B.
Aditi
Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
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.
-
E.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32e8098819090b88fc920416f6b |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a3f2b51c81909f058149e9bd9f0a |
completed | March 28, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4a9e91881909df07f1c540f191e |
completed | March 28, 2026, 9:51 a.m. |
Created at: March 27, 2026, 2:44 p.m.