Triple

T5128929
Position Surface form Disambiguated ID Type / Status
Subject Mrinal Sen E115647 entity
Predicate notableWork P4 FINISHED
Object Padatik
Padatik is a 1973 Indian Bengali-language political drama film directed by Mrinal Sen that explores themes of urban Naxalite activism and middle-class complicity.
 E496013 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: Padatik | Statement: [Mrinal Sen, notableWork, Padatik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Padatik
Context triple: [Mrinal Sen, notableWork, Padatik]
  • A. Anusapati
    Anusapati was a 13th-century Javanese king who ruled the Singhasari Kingdom in East Java, Indonesia.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • D. Tadukhipa
    Tadukhipa was a Mitanni princess who became a queen of Egypt during the 18th Dynasty, likely as a wife of Amenhotep III and later associated with his successor Akhenaten.
  • E. Nagamandala
    Nagamandala is a traditional South Indian ritualistic performance and folk dance-drama centered on serpent worship, especially prevalent in the Tulu-speaking regions of Karnataka.
  • 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: Padatik
Triple: [Mrinal Sen, notableWork, Padatik]
Generated description
Padatik is a 1973 Indian Bengali-language political drama film directed by Mrinal Sen that explores themes of urban Naxalite activism and middle-class complicity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Padatik
Target entity description: Padatik is a 1973 Indian Bengali-language political drama film directed by Mrinal Sen that explores themes of urban Naxalite activism and middle-class complicity.
  • A. Anusapati
    Anusapati was a 13th-century Javanese king who ruled the Singhasari Kingdom in East Java, Indonesia.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • D. Tadukhipa
    Tadukhipa was a Mitanni princess who became a queen of Egypt during the 18th Dynasty, likely as a wife of Amenhotep III and later associated with his successor Akhenaten.
  • E. Nagamandala
    Nagamandala is a traditional South Indian ritualistic performance and folk dance-drama centered on serpent worship, especially prevalent in the Tulu-speaking regions of Karnataka.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7825facc8190b2a6c17216290b5c completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c23d5c8190883a297254d9c80d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec6620aac8190a820190e7facd70a completed March 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69bec70062f48190baae277e6f8c5c4e completed March 21, 2026, 4:27 p.m.
Created at: March 20, 2026, 1:42 p.m.