Triple

T5128973
Position Surface form Disambiguated ID Type / Status
Subject Suchitra Sen E115648 entity
Predicate notableWork P4 FINISHED
Object Aandhi
Aandhi is a 1975 Hindi political drama film, loosely inspired by the life of Indian Prime Minister Indira Gandhi, renowned for Suchitra Sen’s powerful lead performance.
 E496023 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: Aandhi | Statement: [Suchitra Sen, notableWork, Aandhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aandhi
Context triple: [Suchitra Sen, notableWork, Aandhi]
  • A. Varsha
    Varsha is the monsoon season in the Hindu lunisolar calendar, marked by heavy rains and agricultural renewal.
  • B. Grishma
    Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
  • C. Vayu
    Vayu is the Hindu god of wind, revered as a powerful Vedic deity and divine father of the monkey-god Hanuman.
  • D. Jhumar
    Jhumar is a traditional folk dance known for its graceful, rhythmic movements and cultural significance in North Indian communities, particularly in regions where Bhojpuri is spoken.
  • E. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • 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: Aandhi
Triple: [Suchitra Sen, notableWork, Aandhi]
Generated description
Aandhi is a 1975 Hindi political drama film, loosely inspired by the life of Indian Prime Minister Indira Gandhi, renowned for Suchitra Sen’s powerful lead performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aandhi
Target entity description: Aandhi is a 1975 Hindi political drama film, loosely inspired by the life of Indian Prime Minister Indira Gandhi, renowned for Suchitra Sen’s powerful lead performance.
  • A. Varsha
    Varsha is the monsoon season in the Hindu lunisolar calendar, marked by heavy rains and agricultural renewal.
  • B. Grishma
    Grishma is the hot summer season in the Hindu lunisolar calendar, typically associated with intense heat and dry weather.
  • C. Vayu
    Vayu is the Hindu god of wind, revered as a powerful Vedic deity and divine father of the monkey-god Hanuman.
  • D. Jhumar
    Jhumar is a traditional folk dance known for its graceful, rhythmic movements and cultural significance in North Indian communities, particularly in regions where Bhojpuri is spoken.
  • E. Mahjoor
    Mahjoor was a renowned Kashmiri poet celebrated for revitalizing modern Kashmiri literature and expressing the social and cultural aspirations of the Kashmiri people.
  • 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.