Triple
T20237563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suchitra Sen |
E498190
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Champakali
Champakali is an Indian Bengali film best known today for featuring legendary actress Suchitra Sen in a prominent role.
|
E1419237
|
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: Champakali | Statement: [Suchitra Sen, notableWork, Champakali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champakali Context triple: [Suchitra Sen, notableWork, Champakali]
-
A.
Maduraikāñci
Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
-
B.
Chandimangal
Chandimangal is a prominent subgenre of medieval Bengali Mangalkavya literature that narrates and glorifies the deeds and worship of the goddess Chandi.
-
C.
Rayamangalam
Rayamangalam is a village in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
D.
Ranganayaki
Ranganayaki is the principal consort goddess (often identified with Lakshmi) worshipped at the Sri Ranganathaswamy Temple in Srirangam.
-
E.
Pacharauta
Pacharauta is a municipality-level town located in Nepal’s Madhesh Province, near the country’s southern border with India.
- 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: Champakali Triple: [Suchitra Sen, notableWork, Champakali]
Generated description
Champakali is an Indian Bengali film best known today for featuring legendary actress Suchitra Sen in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Champakali Target entity description: Champakali is an Indian Bengali film best known today for featuring legendary actress Suchitra Sen in a prominent role.
-
A.
Maduraikāñci
Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
-
B.
Chandimangal
Chandimangal is a prominent subgenre of medieval Bengali Mangalkavya literature that narrates and glorifies the deeds and worship of the goddess Chandi.
-
C.
Rayamangalam
Rayamangalam is a village in the Aluva taluk of Ernakulam district in the Indian state of Kerala.
-
D.
Ranganayaki
Ranganayaki is the principal consort goddess (often identified with Lakshmi) worshipped at the Sri Ranganathaswamy Temple in Srirangam.
-
E.
Pacharauta
Pacharauta is a municipality-level town located in Nepal’s Madhesh Province, near the country’s southern border with India.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b9264b88190b0f5a0364c1aebc0 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c17a0808190a6ea7ea52246be8b |
completed | May 16, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084cf11ff8819086138489b9645c75 |
completed | May 16, 2026, 10:54 a.m. |
Created at: April 11, 2026, 11:40 p.m.