Triple

T20237564
Position Surface form Disambiguated ID Type / Status
Subject Suchitra Sen E498190 entity
Predicate notableWork P4 FINISHED
Object Grihadaha
Grihadaha is a classic Bengali film featuring legendary actress Suchitra Sen in a prominent role.
 E674348 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: Grihadaha | Statement: [Suchitra Sen, notableWork, Grihadaha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grihadaha
Context triple: [Suchitra Sen, notableWork, Grihadaha]
  • A. Grihadaha
    Grihadaha is a Bengali novel by Sarat Chandra Chattopadhyay that explores complex human relationships, social norms, and emotional turmoil in early 20th-century Bengal.
  • B. Aratnadara
    Aratnadara was a Mongol prince of the Yuan dynasty, known primarily as a son of the Yuan emperor Tugh Temür.
  • C. Chakrapani
    Chakrapani is a Hindu deity, regarded as a form of Lord Vishnu associated with the discus (chakra) and worshipped as the presiding god of the Chakrapani Temple.
  • D. Gunabhadra
    Gunabhadra was a prominent Jain poet and scholar associated with the Rashtrakuta dynasty, known for his significant contributions to medieval Indian religious and literary traditions.
  • E. Rawatbhata
    Rawatbhata is a town in Rajasthan, India, known for its nearby nuclear power facilities and major dams on the Chambal River.
  • 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: Grihadaha
Triple: [Suchitra Sen, notableWork, Grihadaha]
Generated description
Grihadaha is a classic Bengali film featuring legendary actress Suchitra Sen in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grihadaha
Target entity description: Grihadaha is a classic Bengali film featuring legendary actress Suchitra Sen in a prominent role.
  • A. Grihadaha chosen
    Grihadaha is a Bengali novel by Sarat Chandra Chattopadhyay that explores complex human relationships, social norms, and emotional turmoil in early 20th-century Bengal.
  • B. Aratnadara
    Aratnadara was a Mongol prince of the Yuan dynasty, known primarily as a son of the Yuan emperor Tugh Temür.
  • C. Chakrapani
    Chakrapani is a Hindu deity, regarded as a form of Lord Vishnu associated with the discus (chakra) and worshipped as the presiding god of the Chakrapani Temple.
  • D. Gunabhadra
    Gunabhadra was a prominent Jain poet and scholar associated with the Rashtrakuta dynasty, known for his significant contributions to medieval Indian religious and literary traditions.
  • E. Rawatbhata
    Rawatbhata is a town in Rajasthan, India, known for its nearby nuclear power facilities and major dams on the Chambal River.
  • F. None of above.

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.