Triple

T5693917
Position Surface form Disambiguated ID Type / Status
Subject Tabu E125489 entity
Predicate notableWork P4 FINISHED
Object Virasat
Virasat is a 1997 Hindi drama film, directed by Priyadarshan and acclaimed for its powerful performances and portrayal of rural family and social conflicts.
 E541906 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: Virasat | Statement: [Tabu, notableWork, Virasat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virasat
Context triple: [Tabu, notableWork, Virasat]
  • A. Sahiban
    Sahiban is a tragic heroine from the Punjabi romantic epic "Mirza Sahiban," renowned in South Asian folklore for her ill-fated love story with Mirza.
  • B. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • C. Yantra Raj
    Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
  • D. Panihati
    Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
  • E. Khazana
    Khazana is a historic treasury building within the Mughal-era royal complex of Fatehpur Sikri in Uttar Pradesh, 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: Virasat
Triple: [Tabu, notableWork, Virasat]
Generated description
Virasat is a 1997 Hindi drama film, directed by Priyadarshan and acclaimed for its powerful performances and portrayal of rural family and social conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virasat
Target entity description: Virasat is a 1997 Hindi drama film, directed by Priyadarshan and acclaimed for its powerful performances and portrayal of rural family and social conflicts.
  • A. Sahiban
    Sahiban is a tragic heroine from the Punjabi romantic epic "Mirza Sahiban," renowned in South Asian folklore for her ill-fated love story with Mirza.
  • B. Swayam
    Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
  • C. Yantra Raj
    Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
  • D. Panihati
    Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
  • E. Khazana
    Khazana is a historic treasury building within the Mughal-era royal complex of Fatehpur Sikri in Uttar Pradesh, 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05d8890148190a4f81b2c1ca70886 completed March 22, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:44 p.m.