Triple

T20237589
Position Surface form Disambiguated ID Type / Status
Subject Suchitra Sen E498190 entity
Predicate notableWork P4 FINISHED
Object Nabajanma
Nabajanma is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
E1419254 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: Nabajanma | Statement: [Suchitra Sen, notableWork, Nabajanma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabajanma
Context triple: [Suchitra Sen, notableWork, Nabajanma]
  • A. Jagaban
    Jagaban is the popular political nickname of Nigerian politician and current president Bola Ahmed Tinubu, often used to signify his influential “godfather” status in Nigerian politics.
  • B. Apanjan
    Apanjan is a 1968 Bengali social drama film directed by Tapan Sinha that explores political unrest and youth disillusionment in contemporary Calcutta.
  • C. Manebhanjan
    Manebhanjan is a small hill town in West Bengal, India, known as the traditional base and gateway for treks and jeep safaris to the Singalila ridge and Sandakphu.
  • D. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • E. Bangana
    Bangana is a town in the Una district of Himachal Pradesh, India, known as a local commercial and administrative center for the surrounding rural area.
  • 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: Nabajanma
Triple: [Suchitra Sen, notableWork, Nabajanma]
Generated description
Nabajanma is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nabajanma
Target entity description: Nabajanma is a Bengali film best known for featuring legendary actress Suchitra Sen in a prominent role.
  • A. Jagaban
    Jagaban is the popular political nickname of Nigerian politician and current president Bola Ahmed Tinubu, often used to signify his influential “godfather” status in Nigerian politics.
  • B. Apanjan
    Apanjan is a 1968 Bengali social drama film directed by Tapan Sinha that explores political unrest and youth disillusionment in contemporary Calcutta.
  • C. Manebhanjan
    Manebhanjan is a small hill town in West Bengal, India, known as the traditional base and gateway for treks and jeep safaris to the Singalila ridge and Sandakphu.
  • D. Nakurbabu
    Nakurbabu is a recurring, comically timid and superstitious companion of Professor Shonku in Satyajit Ray’s Bengali science fiction stories.
  • E. Bangana
    Bangana is a town in the Una district of Himachal Pradesh, India, known as a local commercial and administrative center for the surrounding rural area.
  • 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.