Triple

T4910865
Position Surface form Disambiguated ID Type / Status
Subject Sohan Singh Bhakna E110227 entity
Predicate givenName P17 FINISHED
Object Sohan
Sohan is a masculine given name of Indian origin, commonly used in South Asia.
 E480225 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: Sohan | Statement: [Sohan Singh Bhakna, givenName, Sohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sohan
Context triple: [Sohan Singh Bhakna, givenName, Sohan]
  • A. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • B. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • C. Gopal
    Gopal is the given name of Gopal Krishna Gokhale, a prominent Indian political leader and social reformer of the early 20th century.
  • D. Subhash
    Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
  • E. Suraj Sharma
    Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
  • 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: Sohan
Triple: [Sohan Singh Bhakna, givenName, Sohan]
Generated description
Sohan is a masculine given name of Indian origin, commonly used in South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sohan
Target entity description: Sohan is a masculine given name of Indian origin, commonly used in South Asia.
  • A. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • B. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • C. Gopal
    Gopal is the given name of Gopal Krishna Gokhale, a prominent Indian political leader and social reformer of the early 20th century.
  • D. Subhash
    Subhash is one of the central protagonists of Jhumpa Lahiri’s novel "The Lowland," depicted as a thoughtful, reserved brother whose life diverges sharply from his more radical sibling’s amid political turmoil in India.
  • E. Suraj Sharma
    Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9acc0c819080b07e2e7924d163 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be779ed15481908366b5e22c9960e6 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be781aa8648190a58587e6f3e04e11 completed March 21, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69be78a0bdc88190bd8458658f15f879 completed March 21, 2026, 10:53 a.m.
Created at: March 20, 2026, 1:29 p.m.