Triple

T5113327
Position Surface form Disambiguated ID Type / Status
Subject Satyajit Sen E115268 entity
Predicate hasGivenName P17 FINISHED
Object Satyajit
Satyajit is an Indian given name commonly used for males, often associated with cultural and artistic figures.
E493536 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: Satyajit | Statement: [Satyajit Sen, hasGivenName, Satyajit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satyajit
Context triple: [Satyajit Sen, hasGivenName, Satyajit]
  • A. Narayan Apte
    Narayan Apte was an Indian nationalist and co-conspirator in the assassination of Mahatma Gandhi, executed for his role in the plot.
  • B. Tapan Sinha
    Tapan Sinha was a renowned Indian film director celebrated for his socially conscious and critically acclaimed works in Bengali cinema.
  • C. Chhabi Biswas
    Chhabi Biswas was a renowned Indian Bengali film and stage actor, celebrated for his powerful character roles and collaborations with directors like Satyajit Ray.
  • D. Kumar Shahani
    Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
  • E. Tapan Bose
    Tapan Bose is an Indian human rights activist and documentary filmmaker known for his work on civil liberties, democracy, and social justice issues.
  • 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: Satyajit
Triple: [Satyajit Sen, hasGivenName, Satyajit]
Generated description
Satyajit is an Indian given name commonly used for males, often associated with cultural and artistic figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Satyajit
Target entity description: Satyajit is an Indian given name commonly used for males, often associated with cultural and artistic figures.
  • A. Narayan Apte
    Narayan Apte was an Indian nationalist and co-conspirator in the assassination of Mahatma Gandhi, executed for his role in the plot.
  • B. Tapan Sinha
    Tapan Sinha was a renowned Indian film director celebrated for his socially conscious and critically acclaimed works in Bengali cinema.
  • C. Chhabi Biswas
    Chhabi Biswas was a renowned Indian Bengali film and stage actor, celebrated for his powerful character roles and collaborations with directors like Satyajit Ray.
  • D. Kumar Shahani
    Kumar Shahani is an Indian filmmaker and theorist known for his pioneering work in the Indian New Wave and his formally experimental, intellectually rigorous cinema.
  • E. Tapan Bose
    Tapan Bose is an Indian human rights activist and documentary filmmaker known for his work on civil liberties, democracy, and social justice issues.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cba1e88190af076657f846b975 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
NEDg Description generation batch_69bebb50aef48190b625278340a8c310 completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc0b38e88190830eb74292e00e93 completed March 21, 2026, 3:40 p.m.
Created at: March 20, 2026, 1:41 p.m.